MINI-SENTINEL COMMON DATA MODEL DATA QUALITY REVIEW AND CHARACTERIZATION PROCESS AND PROGRAMS

MINI-SENTINEL COMMON DATA MODEL DATA QUALITY REVIEW AND CHARACTERIZATION PROCESS AND PROGRAMS Program Package version: 3.2 Prepared by the Mini-Sentinel Operations Center May 2014 Mini-Sentinel is a pilot project sponsored by the U.S. Food and Drug Administration (FDA) to inform and facilitate development of a fully operational active surveillance system, the Sentinel System, for monitoring the safety of FDA-regulated medical products. Mini-Sentinel is one piece of the Sentinel Initiative, a multi-faceted effort by the FDA to develop a national electronic system that will complement existing methods of safety surveillance. Mini-Sentinel Collaborators include Data and Academic Partners that provide access to health care data and ongoing scientific, technical, methodological, and organizational expertise. The Mini-Sentinel Coordinating Center is funded by the FDA through the Department of Health and Human Services (HHS) Contract number HHSF223200910006I.

Table of Contents I. OVERVIEW...- 1 - II. DATA QUALITY REVIEW PROCESS...- 1 - A. DISTRIBUTED PROGRAMMING AND DATA QUALITY CHECKS... - 1 - B. DATA PARTNER QUALITY REVIEW AND CHARACTERIZATION REPORT... - 2 - III. PROGRAM PACKAGE...- 2 - A. CORE TABLES QUALITY REVIEW... - 2 - B. LABORATORY TABLE QUALITY REVIEW... - 4 - C. VITAL SIGNS TABLE QUALITY REVIEW... - 4 - IV. PROGRAM EXECUTION...- 5 - V. PROGRAM PACKAGE OUTPUT...- 5 - A. CORE QUALITY REVIEW OUTPUT EXAMPLE... - 5 - B. LAB QUALITY REVIEW OUTPUT EXAMPLE... - 6 - C. VITAL SIGNS QUALITY REVIEW OUTPUT EXAMPLE... - 7 - VI. APPENDIX A: LIST OF ALL QA ERR CODES...- 8 - VII. APPENDIX B: LIST OF OUTPUT DATASETS...- 66 - Mini-Sentinel Common Data Model i Data Quality Review Process and Programs

Modification History Version Date Modification By 3.2 5/30/2014 Integrated Common Components Mini-Sentinel Operations Center Added MSCDM v4.0 compliance checks, minor bug fixes 3.1.3 03/03/2014 Implemented minor bug fixes Mini-Sentinel Operations Center 3.1.2 09/25/2013 Implemented minor bug fix Mini-Sentinel Operations Center 3.1.1 09/16/2013 Implemented minor bug fix Mini-Sentinel Operations Center 3.1 09/05/2013 Added/modified lab and vitals Mini-Sentinel Operations Center checks, fixed bugs 3.0.1 03/01/2013 Updated for UNIX compatibility Mini-Sentinel Operations Center 3.0 11/12/2012 Added PatID and ID Mini-Sentinel Operations Center matching, enhanced valid date checks, fixed bugs Added clinical data (labs and vitals) programs 2.0 10/14/2010 Added duplicate record checks, Mini-Sentinel Operations Center modified dataset names, fixed bugs 1.0 09/20/2010 Initial published version Mini-Sentinel Operations Center Mini-Sentinel Common Data Model ii Data Quality Review Process and Programs

I. OVERVIEW This document describes the process and version 3.2 program package used by the Mini-Sentinel Operations center (MSOC) for data quality review and characterization of the Mini-Sentinel Distributed Database (MSDD). To create the MSDD, each Data Partner transforms local source data into the Mini- Sentinel Common Data Model (MSCDM) format. The MSOC uses a set of data quality review and characterization programs (i.e., a program package ) to ensure that the MSDD meets reasonable standards for data transformation consistency and quality. II. DATA QUALITY REVIEW PROCESS A data quality review is conducted by MSOC when a Mini-Sentinel Data Partner updates their MSCDM database to include additional data. Following a database update, or refresh, a distributed program package developed by the MSOC is executed locally by the Data Partner, and aggregate output tables are returned to MSOC for review. MSOC analysts perform two independent reviews of the output and generate a consensus report of findings. MSOC and the Data Partner work closely together to resolve outstanding issues and approve the data for use in Mini-Sentinel data requests. Updated data are not used in requests until the refresh has been approved by MSOC. A. DISTRIBUTED PROGRAMMING AND DATA QUALITY CHECKS To evaluate data characteristics and quality, MSOC developed distributed code to query the content of MSCDM formatted tables. The distributed code generates aggregate output tables that help determine whether the data conform to MSCDM specifications, maintain integrity across variables and across tables, and trend as expected over time. Output tables are designed to evaluate one or more data checks, i.e., pre-defined data quality measures or characterizations. Each data check is designated a level 1, level 2, level 3, or level 4 data quality check depending on the complexity and assigned an Err Code for tracking and reporting purposes. An Err Code can represent a data characteristic or a data issue (see Section IIB for more information on Err Codes). Level 1 data checks review the completeness and content of each variable in each table to ensure that the required variables contain data and conform to the formats specified by the MSCDM specifications. For each MSCDM variable, level 1 data checks verify that data types, variable lengths, and SAS formats are correct and reported values are acceptable. For example, ensuring that the variable SEX in the Demographic table has a value of F, M, A, or U is a level 1 data check. Level 2 data checks assess the logical relationship and integrity of data values within a variable or between two or more variables within and between tables. For example, the MSCDM requires that the variable ADMITTING_SOURCE in the table is populated only for inpatient and institutional encounters (i.e., ENCTYPE= IP or IS ). A level 2 data check would ensure that ADMITTING_SOURCE is populated only when ENCTYPE= IP or IS. Level 3 data checks examine data distributions and trends over time, both within a Data Partner s database (by examining output by year and year/month) and across a Data Partner s databases (by Mini-Sentinel Common Data Model - 1 - Data Quality Review Process and Programs

comparing updated MSCDM tables to previous versions of the tables). For example, a level 3 data check would ensure that there are no large, unexpected increases or decreases in diagnosis records over time. Level 4 data checks examine the occurrence and prevalence of nonsensical diagnoses and examine variations in care practices across data partners. Level 4 checks are designed to provide more targeted data analyses and profiling of Data Partner data, and are not necessarily designed to detect and correct errors. An example level 4 data check would examine the proportion of ovarian cancer diagnoses among men. B. DATA PARTNER QUALITY REVIEW AND CHARACTERIZATION REPORT Following review of the output tables and evaluation of the data checks, MSOC shares with the Data Partner a summary QA review report containing a list of questions, possible issues, and data characteristics. If there are data issues, the Data Partner will investigate and provide a written response in the report either explaining the results or proposing corrective action. All decisions and discussions are documented in the report in order to develop a knowledge repository about the Data Partner s data. Each data characteristic or issue in the report is identified by an Err Code. Err Codes are constructed of (in this order): the MSCDM table name abbreviation, the data check level (1, 2, 3, or 4), the variable number (as it appears in MSCDM specifications), and the data check number. For example, the Err Code DEM1.3.2 denotes the second level 1 check performed on the variable SEX in the Demographic table. This check ensures that the variable SEX in the Demographic table is 1 character in length. Using Err Codes for tracking allows for easy assessment of data trends over time and across Data Partners. III. PROGRAM PACKAGE The data quality review and characterization program package contains three sub-packages that query MSCDM tables. The Core quality review sub-package queries the Enrollment, Demographic, Dispensing,, Diagnosis, Procedure, Death, and Cause of Death tables. The Laboratory quality review sub-package queries the table, and the Vital Signs quality review sub-package queries the Vital Signs table. All programs are based on MSCDM version 4.0. A. CORE TABLES QUALITY REVIEW The Core quality review sub-package is executed first by all Data Partners via the Master SAS Program. A total of 20 SAS QA programs are included in the sub-package: Master SAS Program (00.0_mscdm_data_qa_review_master_file.sas). Selectively executes programs included in the sub-package in accordance to an MSOC-provided control flow input file (control_flow.sas7bdat). Requires editing by the Data Partner to identify location of the MSCDM tables in staging, as well as the location of the Common Components program. QA Programs: o Enrollment table QA program (01.1_mscdm_data_qa_review-enrollment.sas). Queries the number of members and records in the Enrollment table, and outputs information on medical and drug coverage indicators, enrollment start, end, and length. Mini-Sentinel Common Data Model - 2 - Data Quality Review Process and Programs

o Demographic table QA program (02.1_mscdm_data_qa_review-demographic.sas). Queries the number of members and records in the Demographic table, and outputs information on age, sex, and race. o Dispensing table QA program (03.1_mscdm_data_qa_review-dispensing.sas). Queries the number of members and records in the Dispensing table, and outputs information on dispensing date, dispensings over time, dispensings per member over time, days supply and dispensed amount. o table QA program (04.1_mscdm_data_qa_review-encounter.sas). Queries the number of members, records, encounters, and providers in the table, and outputs information on admission and discharge date, encounters over time, encounter type, length of stay, facility location, admitting source, discharge status and disposition, DRG and DRG type, and number of encounters per member. o Diagnosis table QA program (04.2_mscdm_data_qa_review-diagnosis.sas). Queries the number of members, records, encounters, and providers in the Diagnosis table, and outputs information on encounter type, admission date, diagnosis code and type, principal diagnosis indicators, number of diagnoses per encounter, and number of diagnoses over time. o Procedure table QA program (04.3_mscdm_data_qa_review-procedure.sas). Queries the number of members, records, encounters, and providers in the Procedure table, and outputs information on encounter type, admission date, procedure code and type, number of procedures per encounter, and number of procedures over time. o Death table QA program (05.1_mscdm_data_qa_review-death.sas). Queries the number of members and records in the Death table, and outputs information on the source of and confidence in death information, number of deaths over time, and if the death date has been imputed. o Cause of death table QA program (05.2_mscdm_data_qa_review-causeofdeath.sas). Queries the number of members and records in the Cause of Death table, and outputs information on cause of death codes and cause type, and source of and confidence in cause of death information. o Level 1 and 2 checks QA program (99.1_mscdm_data_qa_review-l1_l2.sas). Queries all Core MSCDM tables to perform level 1 and level 2 checks not performed elsewhere and sets all level 1 and level 2 flags into one dataset. This program also produces metadata. This module will always execute if a QA module for any Core tables are executed. o Level 4 checks QA program (08.1_mscdm_data_qa_review-level4). Queries all Core MSCDM tables to perform level 4 checks. Must be run independently of the Master SAS Program. o Min-Max Dates program (99.2_mscdm_data_qa_review_minmax_dates.sas). Queries all Core MSCDM tables and outputs minimum and maximum dates in each, and calculates DP Min (calculated as the maximum of the Min Dates) and DP Max (calculated as the minimum of the Max dates). Control Flow Program (00.0_mscdm_control_flow.sas). Contains a program that allows selective and sequential execution of QA modules. Standard Macros Program (00.1_mscdm_standard_macros.sas). Contains macros used across all Core QA programs. Standard Formats Program (00.1_mscdm _formats.sas). Contains formats used across all Core QA programs. Log Checker Program (00.3_mscdm_sas_log_checker_directory_cc.sas). Checks program log and summarizes notes, warnings, and errors in an output PDF file. Mini-Sentinel Common Data Model - 3 - Data Quality Review Process and Programs

Signature Request Program (00.4_mscdm_qasignaturerequest.sas). Creates signature files containing metadata for each MSCDM table. The Core quality review sub-package also contains three input files: Error code crosswalk (flags_xwalk.sas7bdat). Assigns appropriate Err Codes to all checks performed in the QA programs. See Appendix A for a list of Core quality review Err Codes. Level 4 codes (level4lookup.sas7bdat). Includes the code lists for conditions of interest included in Level 4 data checks. Control flow (control_flow.sas7bdat). Controls selective and sequential execution of QA modules. B. LABORATORY TABLE QUALITY REVIEW The Laboratory quality review sub-package is executed second and only by Data Partners who have lab data available. A total of 3 SAS programs are included in the sub-package: Lab QA Program (06.1_mscdm_data_qa_review-labs.sas). Queries the number of members and records in the table and outputs information on lab tests included, result units, and available dates (i.e., date of lab vs. order date vs. result date). Many of the checks included in the program check compliance with MSCDM specifications (e.g., appropriate length, type, and format) and assess across-variable integrity (e.g., if individual tests have valid information populated for specimen source and test subtype; if quantitative tests only contain numeric results). Lab Standard Macros (06.1_mscdm_laboratory_macros.sas). Contains macros used in the Lab QA program. Log Checker Program (00.3_mscdm_sas_log_checker_directory_cc.sas). Checks Lab QA program log and appends notes, warnings, and errors to the output.pdf file generated by the Core QA program. The Laboratory quality review sub-package also contains two input files: - LOINC lookup (loinc_lkp.sas7bdat). Contains a lookup table for specimen source and LOINC codes for each laboratory test and sub category. - Procedure lookup (px_lkp.sas7bdat). Includes procedure code list associated with laboratory tests. C. VITAL SIGNS TABLE QUALITY REVIEW The Vital Signs quality review sub-package is executed third and only by Data Partners who have vital signs data available. A total of 2 SAS programs are included in the sub-package: Vital Signs QA Program (07.1_mscdm_data_qa_review-vitals.sas). Queries the number of members and records in the Vital Signs table and outputs the frequency of height, weight, diastolic blood pressure, systolic blood pressure, and tobacco use measurements by age group, sex, and year. Mini-Sentinel Common Data Model - 4 - Data Quality Review Process and Programs

Log Checker Program (00.3_mscdm_sas_log_checker_directory_cc.sas). Checks Vital Signs QA program log and appends notes, warnings, and errors to the output.pdf file generated by the Core QA and (if applicable) Lab QA program. IV. PROGRAM EXECUTION When implementing programs within the MSDD, the MSOC uses a uniform folder structure across Data Partners to facilitate communications between MSOC and Data Partners and to streamline file management. Data Partners create a folder named after the quality review package and several subfolders to organize program inputs and outputs. One of the folders contains output to be sent to MSOC and another contains intermediate files that remain with the Data Partner, but could be used to facilitate follow-up queries if necessary. Table 1 defines the variables that must be initialized by the user to execute the quality review and characterization program package (i.e., defined by the Data Partner before execution of the programs). Please note that these values cannot be left blank. Each Data Partner is required to enter user inputs at the beginning of the applicable data quality program. These inputs are unique to each Data Partner. Table 1. Master Program Variable Definitions Label Field Name Description Common Components Path MSCC Path to directory containing the Common Components file (ms_common_components.sas) Staging MSCDM Path STAGING Path to directory containing the MSCDM datasets pending QA review V. PROGRAM PACKAGE OUTPUT Execution of all sections of the data quality review and characterization program package generates up to 279 output files: 154 Core output tables, 73 Lab output tables, and 21 Vital Signs output tables. In addition, 15 logs, 13 signature files, 1 lab output summary PDF file, and 1 master output summary PDF file are generated. See Appendix B for a complete list of output files. An example output table for each sub-package is provided below to demonstrate how output tables are used during data quality review. A. CORE QUALITY REVIEW OUTPUT EXAMPLE The output dataset dia_l3_pdx_et.sas examines the frequency of records in the Diagnosis table by principal diagnosis flag (PDX) and encounter type (ENCTYPE), and helps evaluate compliance with MSCDM specifications. Table 2: Example Dia_l3_pdx_et Output PDX EncType Count Percent AV 100,000 53.3 ED 25,000 13.3 OA 40,000 21.3 Mini-Sentinel Common Data Model - 5 - Data Quality Review Process and Programs

PDX EncType Count Percent P IP 1,500 0.8 P IS 6,000 3.2 S IP 3,000 1.6 S IS 12,000 6.4 Per MSCDM specifications, only inpatient and institutional stay encounters (ENCTYPE= IP and IS ) should have PDX values populated. Ambulatory and emergency department visits (ENCTYPE= AV, OA, and ED ) should have blank PDX values. The table above represents a Diagnosis table with compliant PDX*ENCTYPE values. In addition to evaluating MSCDM compliance, this table also helps MSOC characterize the data. For example, the output indicates that only 4.0% of diagnoses are flagged as principal (PDX= P ), 8.0% are flagged as secondary (PDX= S ), and no diagnoses are flagged as unable to classify (PDX= X ). These percentages can inform investigator decisions to construct cohorts based on PDX values. B. LAB QUALITY REVIEW OUTPUT EXAMPLE The output dataset lab_l2_test_rslttyp_specimen.sas examines the frequency of records in the table by test name (MS_TEST_NAME), test subcategory (MS_TEST_SUB_CATEGORY), specimen source (SPECIMEN_SOURCE), and result type for lab tests with quantitative results. Table 3: Example lab_l2_test_rslttyp_specimen Output MS Test Name MS Test Subcategory Specimen Source Result Type Number of Tests GLUCOSE FST SR_PLS N 400 GLUCOSE RAN BLOOD N 600 HGBA1C BLOOD N 500 HGBA1C BLOOD M 25 PLATELETS PLASMA N 300 PG_QN BHCG SERUM N 200 PG_QN BHCG URINE N 300 PG_QN HCG SERUM N 450 A result type value of N indicates a numeric test result and M indicates a missing numeric test result. Since allowable MS_TEST_SUB_CATEGORY and SPECIMEN_SOURCE values are conditional on the test (e.g., MS_TEST_SUB_CATEGORY should be blank for HGBA1C tests but equal to either FST or RAN for GLUCOSE tests), this output table allows MSOC to evaluate compliance with MSCDM specifications. In addition, result type indicates which quantitative tests have missing result values. In the example output above, all test name, test subcategory, and specimen source values comply with the MSCDM. However, there are 25 HGBA1C lab records that have missing results that should be investigated. Mini-Sentinel Common Data Model - 6 - Data Quality Review Process and Programs

C. VITAL SIGNS QUALITY REVIEW OUTPUT EXAMPLE The output dataset vit_l3_num_wt_age_sex_y.sas examines the frequency of weight measurements taken by age group, sex and year. Given the amount of data included in this table, the example output below is partially populated and includes information only for 15-18 year old females in 2006 and 2007: Table 4: Example vit_l3_num_wt_age_sex_y Output Number of Weight Year Age Category Sex Count Percent Measurements 1 2006 15-18 F 50 0.01 2 2006 15-18 F 42 0.01 3 2006 15-18 F 148 0.01 4 2006 15-18 F 210 0.02 5 2006 15-18 F 2,000 0.20 6 2006 15-18 F 2,200 0.22 1 2007 15-18 F 68 0.01 2 2007 15-18 F 84 0.01 3 2007 15-18 F 3,000 0.30 4 2007 15-18 F 4,200 0.40 5 2007 15-18 F 3,000 0.30 6 2007 15-18 F 3,400 0.30 This table is useful to understand how the number of weight measurements varies by age group, sex, and year. Unlike the other two example output tables, this output is used for characterization purposes only (i.e., it is not evaluating compliance with the MSCDM or looking for errors). In the table above, there are 2,200 15-18 year old female members with six weight measurements in 2006, compared to 50 female members with only one weight measurement in the same year. In 2007, there are 3,400 15-18 year old female members with six weight measurements, compared to 68 female members with only one weight measurement in the same year. Mini-Sentinel Common Data Model - 7 - Data Quality Review Process and Programs

VI. APPENDIX A: LIST OF ALL QA ERR CODES Full Err Code ALL2.1.1 PatID variable has inconsistent lengths across tables ENR_DEM2.1.10 At least one PatID in the ENR table is not in the DEM table ENR_DIS2.1.11 At least one PatID in the ENR table is not in the DIS table ENR_ENC2.1.12 At least one PatID in the ENR table is not in the ENC table ENR_DIA2.1.13 At least one PatID in the ENR table is not in the DIA table ENR_PRO2.1.14 At least one PatID in the ENR table is not in the PRO table ENR1.0.0 Table does not exist ENR1.1.1 PatID variable is not character type ENR1.1.2 PatID variable has missing values ENR1.1.3 PatID variable has non-missing values that are not left-justified ENR1.1.4 PatID variable contains special characters ENR1.2.1 Enr_Start variable is not SAS date value of numeric data type ENR1.2.2 Enr_Start variable is not of length 4 ENR1.2.3 Enr_Start variable has missing values ENR1.3.1 Enr_End variable is not SAS date value of numeric data type ENR1.3.2 Enr_End variable is not of length 4 ENR1.3.3 Enr_End variable has missing values ENR1.3.6 Enr_End variable has values after the maximum dispensing and utilization dates ENR1.4.1 MedCov variable is not character type ENR1.4.2 MedCov variable is not exactly 1 character in length ENR1.4.3 MedCov variable has missing values ENR1.4.4 MedCov variable has values other than "Y", "N", or "U" ENR1.5.1 DrugCov variable is not character type ENR1.5.2 DrugCov variable is not exactly 1 character in length ENR1.5.3 DrugCov variable has missing values ENR1.5.4 DrugCov variable has values other than "Y", "N", or "U" ENR1.6.1 Chart variable is not character type ENR1.6.2 Chart variable is not exactly 1 character in length ENR1.6.3 Chart variable has missing values ENR1.6.4 Chart variable has values other than "Y" or "N" ENR2.0.0 Record(s) have duplicate key value combinations (with respect to table definition) ENR2.2.1 Enr_Start is after Enr_End ENR2.2.3 Enr_Start occurs more than once in the file in combination with PatID, MedCov, and DrugCov Mini-Sentinel Common Data Model - 8 - Data Quality Review Process and Programs

ENR2.3.4 ENR2.6.1 ENR3.0.1 ENR3.1.1 ENR3.2.1 ENR3.3.4 ENR3.4.1 ENR3.4.2 ENR3.4.3 ENR3.4.4 ENR3.4.5 ENR3.4.6 ENR3.5.1 ENR3.5.2 ENR3.5.3 ENR3.5.4 ENR3.5.5 ENR3.5.6 ENR3.6.1 ENR3.6.2 ENR3.6.3 ENR3.6.4 ENR3.6.5 ENR3.6.6 ENR3.6.7 ENR3.6.8 ENR_DEM2.1.1 Enr_End occurs more than once in the file in combination with PatID, MedCov, and DrugCov At least one PatID has records with inconsistent MedCov and DrugCov indicators with the same year/month/day of enrollment Significant change in number of records between Problem with number of unique PatIDs Problem with distribution of Enr_Start variable Problem with distribution of Enr_End variable Problem with distribution of enrollment months per patient for patients with MedCov = "Y" Problem with distribution of MedCov indicators Problem with distribution of MedCov indicators per year Problem with distribution of MedCov indicators per year-month within the Problem with distribution of MedCov indicators per year across Problem with distribution of MedCov indicators per year-month across Problem with distribution of enrollment months per patient for patients with DrugCov = "Y" Problem with distribution of DrugCov indicators Problem with distribution of DrugCov indicators per year Problem with distribution of DrugCov indicators per year-month within the Problem with distribution of DrugCov indicators per year across Problem with distribution of DrugCov indicators per year-month across Problem with distribution of enrollment months per patient for patients with MedCov = "Y" and DrugCov = "Y" Problem with distribution of MedCov*DrugCov indicators Problem with distribution of MedCov*DrugCov indicators per year within the Problem with distribution of MedCov*DrugCov indicators per year-month Problem with distribution of MedCov*DrugCov indicators per year across Problem with distribution of MedCov*DrugCov indicators per year-month across Problem with distribution of total number of patients with MedCov = "Y" and DrugCov = "Y" and at least 1 overlapping enrollment span Problem with distribution of total number of overlapping enrollment spans for all patients with MedCov = "Y" and DrugCov = "Y" At least one PatID in the DEM table is not in the ENR table Mini-Sentinel Common Data Model - 9 - Data Quality Review Process and Programs

DEM1.0.0 Table does not exist DEM1.1.1 PatID variable is not character type DEM1.1.2 PatID variable has missing values DEM1.1.3 PatID variable has non-missing values that are not left-justified DEM1.1.4 PatID variable contains special characters DEM1.2.1 Birth_Date variable is not SAS date value of numeric data type DEM1.2.2 Birth_Date variable is not of length 4 DEM1.2.3 Birth_Date variable has missing values DEM1.2.4 Birth_Date variable has values before 1/1/1885 DEM1.3.1 Sex variable is not character type DEM1.3.2 Sex variable is not exactly 1 character in length DEM1.3.3 Sex variable has missing values DEM1.3.4 Sex has values other than "F", "M", "A", or "U" DEM1.4.1 Hispanic variable is not character type DEM1.4.2 Hispanic variable is not exactly 1 character in length DEM1.4.3 Hispanic variable has missing values DEM1.4.4 Hispanic variable has values other than "Y", "N", or "U" DEM1.5.1 Race variable is not character type DEM1.5.2 Race variable is not exactly 1 character in length DEM1.5.3 Race variable has missing values DEM1.5.4 Race variable has values other than "0", "1", "2", "3", "4", or "5" DEM1.6.1 ZIP variable is not character type DEM1.6.2 ZIP variable is not exactly 5 characters in length DEM1.6.3 ZIP variable has missing values DEM1.7.1 ZIP_Date variable is not SAS date value of numeric data type DEM1.7.2 ZIP_Date variable is not length of 4 DEM1.7.3 ZIP_Date variable has missing values DEM1.7.4 ZIP_Date variable has values before MinDate DEM1.7.5 ZIP_Date variable has values after MaxDate DEM2.0.0 Record(s) have duplicate key value combinations (with respect to table definition) DEM3.0.1 Significant change in number of records between DEM3.1.1 Problem with number of unique PatIDs DEM3.2.2 Problem with distribution of age DEM3.2.3 Problem with distribution of age groups (0-1 yrs, 2-4 yrs, 5-9 yrs, 10-14 yrs, 15-18 yrs, 19-21 yrs, 22-44 yrs, 45-64 yrs, 65-74 yrs, 75+ yrs) DEM3.3.1 Problem with distribution of Sex variable DEM3.4.1 Problem with distribution of Race variable DEM3.5.1 Problem with distribution of Hispanic variable ENR_DIS2.1.2 At least one PatID in the DIS table is not in the ENR table Mini-Sentinel Common Data Model - 10 - Data Quality Review Process and Programs

DIS1.0.0 Table does not exist DIS1.1.1 PatID variable is not character type DIS1.1.2 PatID variable has missing values DIS1.1.3 PatID variable has non-missing values that are not left-justified DIS1.1.4 PatID variable contains special characters DIS1.2.1 RxDate variable is not a SAS date value of numeric data type DIS1.2.2 RxDate variable is not of length 4 DIS1.2.3 RxDate variable has missing values DIS1.3.1 NDC variable is not character data type DIS1.3.2 NDC variable is not exactly 11 characters in length DIS1.3.3 NDC variable has missing values DIS1.3.4 NDC variable contains special characters or non-digits DIS1.4.1 RxSup variable is not numeric type DIS1.4.2 RxSup variable is not of length 4 DIS1.4.3 RxSup variable has negative, missing, or zero values DIS1.4.4 RxSup variable has a format length (no format length should be specified) DIS1.5.1 RxAmt variable is not numeric type DIS1.5.2 RxAmt variable is not of length 4 DIS1.5.3 RxAmt variable has negative, missing or zero values DIS1.5.4 RxAmt variable has a format length (no format length should be specified) DIS2.0.0 DIS3.0.1 DIS3.1.1 DIS3.2.1 DIS3.2.2 DIS3.2.3 DIS3.2.4 DIS3.2.5 DIS3.2.6 DIS3.4.1 DIS3.5.1 DIS3.5.2 ENR_ENC2.1.3 ENC_DIA_PRO2.2.1 Record(s) have duplicate key value combinations (with respect to table definition) Significant change in number of records between Problem with number of unique PatIDs Problem with distribution of RxDate (i.e. total number of dispensings per year) Problem with distribution of RxDate (i.e. total number of dispensings per year-month) Significant change in number of records per RxDate (year) across Significant change in number of records per RxDate (year-month) across Problem with distribution of RxDate (overall) Problem with distribution of RxDate (overall) across Problem with distribution of RxSup Problem with distribution of RxAmt Problem with average number of prescriptions per PatID by year At least one PatID in the ENC table is not in the ENR table ID variable has inconsistent lengths across tables Mini-Sentinel Common Data Model - 11 - Data Quality Review Process and Programs

ENC_DIA_PRO2.2.6 ENC_DIA_PRO2.5.1 ENC_DIA2.2.4 ENC_PRO2.2.5 ENC1.0.0 ENC1.1.1 ENC1.1.2 ENC1.1.3 ENC1.1.4 ENC1.2.1 ENC1.2.2 ENC1.2.3 ENC table has ID values which are not found in the DIA and PRO tables Provider variable has inconsistent lengths across tables ENC table has ID values not found in the DIA table ENC table has ID values not found in the PRO table Table does not exist PatID variable is not character type PatID variable has missing values PatID variable has non-missing values that are not left-justified PatID variable contains special characters ID variable is not character type ID variable has missing values ID variable has non-missing values that are not left-justified ENC1.2.4 ID variable contains special characters ENC1.3.1 ADate variable is not SAS date value of numeric data type ENC1.3.2 ADate variable is not of length 4 ENC1.3.3 ADate variable has missing values ENC1.4.1 DDate variable is not SAS date value of numeric data type ENC1.4.2 DDate variable is not of length 4 ENC1.5.1 Provider variable is not character type ENC1.5.2 Provider variable has missing values and should be populated for all records of the table (part of the definition of the table) ENC1.5.3 Provider variable has non-missing values that are not left-justified ENC1.5.4 Provider variable contains special characters ENC1.6.1 Facility_Location variable is not character type ENC1.6.2 Facility_Location variable is not exactly 3 characters in length ENC1.6.3 Facility_Location variable contains non-digits ENC1.6.4 Facility_Location has missing values ENC1.6.5 Facility_Location variable has non-missing values that are not left-justified ENC1.7.1 ENC1.7.2 ENC1.7.3 ENC1.7.4 ENC1.8.1 ENC1.8.2 ENC1.8.3 ENC1.8.4 ENC1.9.1 EncType variable is not character type EncType variable is not exactly 2 characters in length EncType variable has missing values EncType variable has values other than "IP", "IS", "ED", "AV", or "OA" Facility_Code variable is not character type Facility_Code variable contains special characters Facility_Code variable has non-missing values that are not left-justified Facility_Code has missing values Discharge_Disposition variable is not character type Mini-Sentinel Common Data Model - 12 - Data Quality Review Process and Programs

ENC1.9.2 ENC1.9.3 ENC1.10.1 ENC1.10.2 ENC1.10.3 ENC1.11.1 ENC1.11.2 ENC1.11.3 ENC1.12.1 ENC1.12.2 ENC1.12.3 ENC1.13.1 ENC1.13.2 ENC1.13.3 ENC2.0.0 ENC2.2.1 ENC2.2.7 ENC2.3.1 ENC2.3.2 ENC2.4.1 ENC2.4.2 ENC2.9.1 ENC2.9.2 ENC2.10.1 ENC2.10.2 ENC2.11.1 ENC2.11.2 ENC2.12.1 ENC2.12.2 ENC2.13.1 Discharge_Disposition variable is not exactly 1 character in length Discharge_Disposition variable has values other than "A", "E", "U", or missing Discharge_Status variable is not character data type Discharge_Status variable is not exactly 2 characters in length Discharge_Status variable has values other than "AF", "AL", "AM", "AW", "EX", "HH", "HS", "HO", "IP", "NH", "OT", "RS", "RH", "SH", "SN", UN, or missing DRG variable is not character type DRG variable is not exactly 3 characters in length DRG variable contains non-digits DRG_Type variable is not character type DRG_Type variable is not exactly 1 character in length DRG_Type variable contains values other than "1", "2", or missing Admitting_Source variable is not character type Admitting_Source variable is not exactly 2 characters in length Admitting_Source variable contains values other than "AV", "ED", "AF", "AL", "HH", "HS", "HO", "IP", "NH", "OT", "RS", "RH", "SN", "UN", or missing Record(s) have duplicate key value combinations (with respect to table definition) ID values occur more than once ID variable does not contain (in this order) PatID, ADate, Provider, EncType ADate is after DDate (for IP and IS only) ADate and DDate variables have values before DP_MinDate DDate variable is missing for EncType value "IP" DDate variable is populated for records with EncType values other than "IP" or "IS" Discharge_Disposition variable is missing for EncType values "IP" or "IS" Discharge_Disposition variable is populated for records with EncType values other than "IP" or "IS" Discharge_Status variable is missing for EncType values "IP" or "IS" Discharge_Status variable is populated for records with EncType values other than "IP" or "IS" DRG variable is missing for EncType values "IP" or "IS" DRG variable is populated for records with EncType values other than "IP", "IS", or "ED" DRG_Type variable is missing for EncType values "IP" or "IS" DRG_Type variable is populated for records with EncType values other than "IP", "IS", or "ED" Admitting_Source variable is missing for EncType values "IP" or "IS" Mini-Sentinel Common Data Model - 13 - Data Quality Review Process and Programs

ENC2.13.2 ENC3.0.1 ENC3.1.1 ENC3.2.1 ENC3.3.1 ENC3.3.2 ENC3.3.3 ENC3.3.4 ENC3.3.5 ENC3.3.6 ENC3.4.1 ENC3.4.5 ENC3.4.6 ENC3.4.7 ENC3.4.8 ENC3.4.9 ENC3.4.10 ENC3.4.11 ENC3.4.12 ENC3.4.13 ENC3.5.1 ENC3.7.4 ENC3.7.5 ENC3.7.6 ENC3.7.7 ENC3.7.8 ENC3.7.9 ENC3.9.1 Admitting_Source variable is populated for records with EncType values other than "IP" or "IS" Significant change in number of records between Problem with number of unique PatIDs Problem with number of unique IDs Problem with distribution of ADate (i.e. total number of records per year) Problem with distribution of ADate (i.e. total number of records per yearmonth) Significant change in number of records per ADate (year) across Significant change in number of records per ADate (year-month) across Problem with distribution of ADate (overall) Problem with distribution of ADate (overall) across Problem with distribution of DDate (i.e. total number of records per year) Problem with distribution of DDate (i.e. total number of records per yearmonth) Significant change in number of records per DDate (year) across Significant change in number of records per DDate (year-month) across Problem with distribution of DDate (overall) Problem with distribution of DDate (overall) across Problem with distribution of DDate variable by EncType per year Problem with distribution of DDate variable by EncType per year-month Problem with distribution of length of stay (DDate-ADate + 1) by EncType Problem with distribution of length of stay (DDate-ADate + 1) by EncType per year Problem with number of unique Provider values Problem with distribution of number of encounters per member by year and EncType Problem with distribution of number of encounters per member by yearmonth and EncType Problem with distribution of number of records by EncType per year within the Problem with distribution of number of records by EncType per year-month Significant change in number of records by EncType per year across Significant change in number of records by EncType per year-month across Problem with distribution of Discharge_Disposition variable (overall) Mini-Sentinel Common Data Model - 14 - Data Quality Review Process and Programs

ENC3.9.2 ENC3.10.1 ENC3.10.2 ENC3.11.1 ENC3.12.1 ENC3.12.2 ENC3.12.3 ENC3.13.1 ENC3.13.2 ENR_DIA2.1.4 ENC_DIA2.2.2 DIA1.0.0 DIA1.1.1 DIA1.1.2 DIA1.1.3 DIA1.1.4 DIA1.2.1 DIA1.2.2 DIA1.2.3 Problem with distribution of Discharge_Disposition variable (by EncType) Problem with distribution of Discharge_Status variable (overall) Problem with distribution of Discharge_Status variable (by EncType) Problem with distribution of DRG variable Problem with distribution of DRG_Type variable (overall) Problem with distribution of DRG_Type variable (by year to confirm switch from old to new system) Problem with distribution of DRG_Type variable (by EncType) Problem with distribution of Admitting_Source variable (overall) Problem with distribution of Admitting_Source variable (by EncType) At least one PatID in the DIA table is not in the ENR table DIA table has ID values not found in the ENC table Table does not exist PatID variable is not character type PatID variable has missing values PatID variable has non-missing values that are not left-justified PatID variable contains special characters ID variable is not character type ID variable has missing values ID variable has non-missing values that are not left-justified DIA1.2.4 ID variable contains special characters DIA1.3.1 ADate variable is not SAS date value of numeric data type DIA1.3.2 ADate variable is not of length 4 DIA1.3.3 ADate variable has missing values DIA1.4.1 Provider variable is not character type DIA1.4.2 Provider variable has missing values and should be populated for all records of the table (part of the definition of the table) DIA1.4.3 Provider variable has non-missing values that are not left-justified DIA1.4.4 Provider variable contains special characters DIA1.5.1 EncType variable is not character type DIA1.5.2 EncType variable is not exactly 2 characters in length DIA1.5.3 EncType variable has missing values and should be populated for all records of the table (part of the definition of the table) DIA1.5.4 EncType variable has values other than "IP", "IS", "ED", "AV", or "OA" DIA1.6.1 DX variable Is not character type DIA1.6.2 DX variable is not exactly 18 characters in length DIA1.6.3 DX variable has missing values and should be populated for all records of the table (part of the definition of the table) DIA1.6.4 DX variable contains special characters other than a decimal point Mini-Sentinel Common Data Model - 15 - Data Quality Review Process and Programs

DIA1.6.5 DIA1.7.1 DIA1.7.2 DIA1.7.3 DIA1.8.1 DIA1.9.1 DIA1.9.2 DIA1.9.3 DIA2.0.0 DIA2.2.6 DIA2.9.2 DIA2.9.1 DIA3.0.1 DIA3.1.1 DIA3.2.1 DIA3.3.1 DIA3.3.2 DIA3.3.3 DIA3.3.4 DIA3.3.5 DIA3.3.6 DIA3.4.1 DIA3.5.1 DIA3.5.2 DIA3.5.3 DIA3.5.4 DIA3.5.5 DIA3.6.1 DIA3.6.2 DIA3.7.1 DIA3.7.2 Problem with the length of DX values Dx_Codetype variable is not character type Dx_Codetype variable is not exactly 2 characters in length Dx_Codetype variable contains values other than "09", "10", "11", "SM", or "OT" OrigDX variable is not character type PDX variable is not character type PDX variable is not exactly 1 character in length PDX variable contains values other than "P", "S", "X", or missing Record(s) have duplicate key value combinations (with respect to table definition) ID variable does not contain (in this order) PatID, ADate, Provider, EncType PDX variable is populated for EncType values other than "IP" or "IS" PDX variable has missing values for EncType values "IP" or "IS" Significant change in number of records between Problem with number of unique PatIDs Problem with number of unique IDs Problem with distribution of ADate (i.e. total number of records per year) Problem with distribution of ADate (i.e. total number of records per yearmonth) Significant change in number of records per ADate (year) across Significant change in number of records per ADate (year-month) across Problem with distribution of ADate (overall) Problem with distribution of ADate (overall) across Problem with number of unique Provider values Problem with distribution of number of records by EncType per year within the Problem with distribution of number of records by EncType per year-month Significant change in number of records by EncType per year across Significant change in number of records by EncType per year-month across Problem with distribution of number of unique diagnoses per encounter visit (overall) Problem with distribution of DX variable DX variable is not consistent with Dx_Codetype variable Problem with distribution of Dx_Codetype (by year) Problem with distribution of Dx_Codetype (by EncType) Mini-Sentinel Common Data Model - 16 - Data Quality Review Process and Programs

DIA3.9.1 DIA3.9.2 ENR_PRO2.1.5 ENC_PRO2.2.3 PRO1.0.0 PRO1.1.1 PRO1.1.2 PRO1.1.3 PRO1.1.4 PRO1.2.1 PRO1.2.2 PRO1.2.3 Problem with distribution of PDX variable. Problem with distribution of PDX*EncType At least one PatID in the PRO table is not in the ENR table PRO table has ID values not found in the ENC table Table does not exist PatID variable is not character type PatID variable has missing values PatID variable has non-missing values that are not left-justified PatID variable contains special characters ID variable is not character type ID variable has missing values ID variable has non-missing values that are not left-justified PRO1.2.4 ID variable contains special characters PRO1.3.1 ADate variable is not SAS date value of numeric data type PRO1.3.2 ADate variable is not of length 4 PRO1.3.3 ADate variable has missing values PRO1.4.1 Provider variable is not character type PRO1.4.2 Provider variable has missing values and should be populated for all records of the table (part of the definition of the table) PRO1.4.3 Provider variable has non-missing values that are not left-justified PRO1.4.4 Provider variable contains special characters PRO1.5.1 EncType variable is not character type PRO1.5.2 EncType variable is not exactly 2 characters in length PRO1.5.3 EncType variable has missing values PRO1.5.4 EncType variable has values other than "IP", "IS", "ED", "AV", or "OA" PRO1.6.1 PX variable Is not character type PRO1.6.2 PX variable is not exactly 11 characters in length PRO1.6.3 PX variable has missing values PRO1.6.4 PX variable contains special characters other than a decimal point PRO1.6.5 Problem with the length of PX values PRO1.7.1 PX_Codetype variable Is not character type PRO1.7.2 PX_Codetype variable is not exactly 2 characters in length PRO1.7.3 PX_Codetype variable has missing values PRO1.7.4 PX_Codetype variable contains values other than "09", "10", "11", "C2", "C3", "C4", "H3", "HC", "LC", "LO", "ND", "OT", or "RE" PRO1.8.1 OrigPX variable is not character type PRO2.0.0 Record(s) have duplicate key value combinations (with respect to table definition) PRO2.2.1 ID variable does not contain (in this order) PatID, ADate, Provider, EncType Mini-Sentinel Common Data Model - 17 - Data Quality Review Process and Programs

PRO3.0.1 PRO3.1.1 PRO3.2.1 PRO3.3.1 PRO3.3.2 PRO3.3.3 PRO3.3.4 PRO3.3.5 PRO3.3.6 PRO3.4.1 PRO3.5.1 PRO3.5.2 PRO3.5.3 Significant change in number of records between Problem with number of unique PatIDs Problem with number of unique IDs Problem with distribution of ADate (i.e. total number of records per year) Problem with distribution of ADate (i.e. total number of records per yearmonth) Significant change in number of records per ADate (year) across Significant change in number of records per ADate (year-month) across Problem with distribution of ADate (overall) Problem with distribution of ADate (overall) across Problem with number of unique Provider values Problem with distribution of number of records by EncType per year within the Problem with distribution of number of records by EncType per year-month Significant change in number of records by EncType per year across PRO3.5.4 Significant change in number of records by EncType per year-month across PRO3.5.5 Problem with distribution of number of unique procedures per encounter visit (overall) PRO3.6.1 Problem with distribution of PX variable PRO3.6.2 PX variable is not consistent with PX_Codetype variable PRO3.7.1 Problem with distribution of PX_Codetype (year) PRO3.7.2 Problem with distribution of PX_Codetype (by EncType) ENR_DTH2.1.6 At least one PatID in the DTH table is not in the ENR table DTH_COD2.1.1 At least one PatID in the DTH table is not in the COD table (if both tables exist) DTH1.1.1 PatID variable is not character type DTH1.1.2 PatID variable has missing values DTH1.1.3 PatID variable has non-missing values that are not left-justified DTH1.1.4 PatID variable contains special characters DTH1.2.1 DeathDt variable is not SAS date value of numeric data type DTH1.2.2 DeathDt variable is not of length 4 DTH1.2.3 DeathDt variable has missing values DTH1.2.4 DeathDt variable has values before 1/1/1885 DTH1.3.1 DtImpute variable is not character type DTH1.3.2 DtImpute variable is not exactly 1 character in length DTH1.3.3 DtImpute variable has missing values DTH1.3.4 DtImpute variable has values other than "B", "D", "M", or "N" Mini-Sentinel Common Data Model - 18 - Data Quality Review Process and Programs

DTH1.4.1 Source variable is not character type DTH1.4.2 Source variable is not exactly 1 character in length DTH1.4.3 Source variable has missing values DTH1.4.4 Source variable has values other than "L", "N", "S", or "T" DTH1.5.1 Confidence variable is not character type DTH1.5.2 Confidence variable is not exactly 1 character in length DTH1.5.3 Confidence variable has missing values DTH1.5.4 Confidence variable has values other than "E", "F", or "P" DTH2.0.0 Record(s) have duplicate key value combinations (with respect to table definition) DTH3.0.1 Significant change in number of records between DTH3.1.1 Problem with number of unique PatIDs DTH3.2.1 Problem with distribution of DeathDt variable by year DTH3.2.2 Problem with distribution of DeathDt variable by year-month DTH3.3.1 Problem with distribution of DtImpute DTH3.4.1 Problem with distribution of Source DTH3.5.1 Problem with distribution of Confidence ENR_COD2.1.7 At least one PatID in the COD table is not in the ENR table DTH_COD2.1.2 At least one PatID in the COD table is not in the DTH table (if both tables exist) COD1.1.1 PatID variable is not character type COD1.1.2 PatID variable has missing values COD1.1.3 PatID variable has non-missing values that are not left-justified COD1.1.4 PatID variable contains special characters COD1.2.1 COD variable is not character type COD1.2.2 COD variable has missing values COD1.2.3 COD variable is not exactly 8 characters in length COD1.2.6 COD variable has non-missing values that are not left-justified COD1.2.7 Problem with the length of COD values COD1.3.1 CodeType variable is not character type COD1.3.2 CodeType variable is not exactly 2 characters in length COD1.3.3 CodeType variable has missing values COD1.3.4 CodeType variable has values other than "09" or "10" COD1.3.5 CodeType variable has non-missing values that are not left-justified COD1.4.1 CauseType variable is not character type COD1.4.2 CauseType variable is not exactly 1 character in length COD1.4.3 CauseType variable has missing values COD1.4.4 CauseType variable has values other than "C", "I", "O", or "U" COD1.5.1 Source variable is not character type COD1.5.2 Source variable is not exactly 1 character in length Mini-Sentinel Common Data Model - 19 - Data Quality Review Process and Programs

COD1.5.3 COD1.5.4 COD1.6.1 COD1.6.2 COD1.6.3 COD1.6.4 COD2.0.0 COD3.0.1 COD3.1.1 COD3.2.1 COD3.2.2 COD3.4.1 COD3.5.1 COD3.6.1 DIA4.6.1 DIA4.6.2 DIA4.6.3 DIA4.6.4 DIA4.6.5 DIA4.6.6 DIA4.6.7 DIA4.6.8 DIA4.6.9 DIA4.6.10 DIA4.6.11 DIA4.6.12 DIA4.6.13 DIA4.6.14 Source variable has missing values Source variable has values other than "L", "N", "S", or "T" Confidence variable is not character type Confidence variable is not exactly 1 character in length Confidence variable has missing values Confidence variable has values other than "E", "F", or "P" Record(s) have duplicate key value combinations (with respect to table definition) Significant change in number of records between Problem with number of unique PatIDs Problem with distribution of COD variable COD variable is not consistent with CodeType variable Problem with distribution of CauseType Problem with distribution of Source Problem with distribution of Confidence Problem with number of ovarian cancer encounters (per year-month) within Problem with number of ovarian cancer encounters (overall) within Problem with number of ovarian cancer encounters by sex (per year-month) within Problem with number of ovarian cancer encounters by sex (overall) within Significant change in number of ovarian cancer encounters (per year-month) across Significant change in number of ovarian cancer encounters (overall) across Significant change in number of ovarian cancer encounters by sex (per yearmonth) across Significant change in number of ovarian cancer encounters by sex (overall) across Problem with number of prostate cancer encounters (per year-month) within Problem with number of prostate cancer encounters (overall) within Problem with number of prostate cancer encounters by sex (per year-month) within Problem with number of prostate cancer encounters by sex (overall) within Significant change in number of prostate cancer encounters (per yearmonth) across Significant change in number of prostate cancer encounters (overall) across Mini-Sentinel Common Data Model - 20 - Data Quality Review Process and Programs

DIA4.6.15 DIA4.6.16 DIA4.6.17 DIA4.6.18 DIA4.6.19 DIA4.6.20 DIA4.6.21 DIA4.6.22 DIA4.6.23 DIA4.6.24 ENC4.13.1 ENC4.13.2 ENC4.13.3 ENC4.13.4 PRO4.6.1 PRO4.6.2 PRO4.6.3 PRO4.6.4 PRO4.6.5 PRO4.6.6 PRO4.6.7 PRO4.6.8 LAB1.0.0 LAB1.1.1 LAB1.2.1 LAB1.2.2 LAB1.2.3 Significant change in number of prostate cancer encounters by sex (per yearmonth) across Significant change in number of prostate cancer encounters by sex (overall) across Problem with number of pregnancy encounters (per year-month) within Problem with number of pregnancy encounters (overall) within Problem with number of pregnancy encounters by sex (per year-month) within Problem with number of pregnancy encounters by sex (overall) within Significant change in number of pregnancy encounters (per year-month) across Significant change in number of pregnancy encounters (overall) across Significant change in number of pregnancy encounters by sex (per yearmonth) across Significant change in number of pregnancy encounters by sex (overall) across Problem with ED to IP encounter rates (per year-month) within Problem with ED to IP encounter rates (overall) within Significant change in ED to IP encounter rates (per year-month) across Significant change in ED to IP encounter rates (overall) across Problem with number of hysterectomy encounters (per year-month) within Problem with number of hysterectomy encounters (overall) within Problem with number of hysterectomy encounters by sex (per year-month) within Problem with number of hysterectomy encounters by sex (overall) within Significant change in number of hysterectomy encounters (per year-month) across Significant change in number of hysterectomy encounters (overall) across Significant change in number of hysterectomy encounters by sex (per yearmonth) across Significant change in number of hysterectomy encounters by sex (overall) across Table does not exist PatID variable is not character type MS_Test_Name variable is not character type MS_Test_Name variable is not exactly 10 characters in length MS_Test_Name variable has missing values Mini-Sentinel Common Data Model - 21 - Data Quality Review Process and Programs

LAB1.2.4 LAB1.2.5 LAB1.2.6 LAB1.2.7 LAB1.2.8 LAB1.2.9 LAB1.2.10 LAB1.2.11 LAB1.2.12 LAB1.2.13 LAB1.2.14 LAB1.2.15 LAB1.2.16 LAB1.2.17 LAB1.2.18 LAB1.2.19 LAB1.2.20 LAB1.2.21 LAB1.2.22 LAB1.2.23 LAB1.2.24 LAB1.2.25 LAB1.2.26 LAB1.2.27 LAB1.2.28 LAB1.2.29 LAB1.3.1 LAB1.3.2 LAB1.3.3 LAB1.3.4 LAB1.4.1 MS_Test_Name variable has values other than "ALP", "ALT", "ANC", "BILI_TOT", "CK", "CK_MB", "CK_MBI", "CREATININE", "D_DIMER_QL", "D_DIMER_QN", "GLUCOSE", "HGB", "HGBA1C", "INF_A", "INF_AB", "INF_B", "INF_NS", "INR", "LIPASE", "PG_QL", "PG_QN", "PLATELETS", "TROP_I", "TROP_T_QL", or "TROP_T_QN" MS_Test_Name does not have value "ALP" on at least one record MS_Test_Name does not have value "ALT" on at least one record MS_Test_Name does not have value "ANC" on at least one record MS_Test_Name does not have value "BILI_TOT" on at least one record MS_Test_Name does not have value "CK" on at least one record MS_Test_Name does not have value "CK_MB" on at least one record MS_Test_Name does not have value "CK_MBI" on at least one record MS_Test_Name does not have value "CREATININE" on at least one record MS_Test_Name does not have value "D_DIMER_QL" on at least one record MS_Test_Name does not have value "D_DIMER_QN" on at least one record MS_Test_Name does not have value "GLUCOSE" on at least one record MS_Test_Name does not have value "HGB" on at least one record MS_Test_Name does not have value "HGBA1C" on at least one record MS_Test_Name does not have value "INF_A" on at least one record MS_Test_Name does not have value "INF_AB" on at least one record MS_Test_Name does not have value "INF_B" on at least one record MS_Test_Name does not have value "INF_NS" on at least one record MS_Test_Name does not have value "INR" on at least one record MS_Test_Name does not have value "LIPASE" on at least one record MS_Test_Name does not have value "PG_QL" on at least one record MS_Test_Name does not have value "PG_QN" on at least one record MS_Test_Name does not have value "PLATELETS" on at least one record MS_Test_Name does not have value "TROP_I" on at least one record MS_Test_Name does not have value "TROP_T_QL" on at least one record MS_Test_Name does not have value "TROP_T_QN" on at least one record MS_Test_Sub_Category variable is not character type MS_Test_Sub_Category variable is not exactly 6 characters in length MS_Test_Sub_Category variable has values other than "BHCG", "DDU", "EIA", "FEU", "FST", "HCG", "IF", "NS", "PCR", "RAN", "VTC", or missing MS_Test_Sub_Category variable has non-missing values that are not leftjustified Specimen_Source variable is not character type Mini-Sentinel Common Data Model - 22 - Data Quality Review Process and Programs

LAB1.4.2 LAB1.4.3 LAB1.4.4 Specimen_Source variable is not exactly 6 characters in length Specimen_Source variable has values other than "BAL", "BALBX", "BLOOD", "CSF", "NPH", "NPWASH", "NS", "NSWAB", "NWASH", "OTHER", "PLASMA", "PPP", "SERUM", "SPUTUM", "SR_PLS", "THRT", "UNK" or "URINE" Specimen_Source variable has non-missing values that are not left-justified LAB1.4.5 Specimen_Source variable has missing values LAB1.5.1 LOINC variable is not character type LAB1.5.2 LOINC variable is not exactly 10 characters in length LAB1.5.3 LOINC variable has non-missing values that are not left-justified LAB1.5.4 LOINC variable has missing values LAB1.5.5 First character of LOINC variable is a zero LAB1.5.6 Second-to-last character of LOINC variable is not a hyphen LAB1.5.7 Last character of LOINC variable is not a number 0-9 LAB1.7.1 Stat variable is not character type LAB1.7.2 Stat variable is not exactly 1 character in length LAB1.7.3 Stat variable has missing values LAB1.7.4 Stat variable has values other than "E", "R", "S", or "U" LAB1.8.1 Pt_Loc variable is not character type LAB1.8.2 Pt_Loc variable is not exactly 1 character in length LAB1.8.3 Pt_Loc variable has missing values LAB1.8.4 Pt_Loc variable has values other than "E", "H", "I", "O", or "U" LAB1.9.1 Result_Loc variable is not character type LAB1.9.2 Result_Loc variable is not exactly 1 character in length LAB1.9.3 Result_Loc variable has missing values LAB1.9.4 Result_Loc variable has values other than "L" or "P" LAB1.10.1 LOCAL_CD variable is not character type LAB1.11.1 BATTERY_CD variable is not character type LAB1.12.1 PX variable Is not character type LAB1.13.1 PX_Codetype variable Is not character type LAB1.13.2 PX_Codetype variable is not exactly 2 characters in length LAB1.13.3 PX_Codetype variable contains values other than "09", "10", "11", "C2", "C3", "C4", "H3", "HC", "LO", "ND", "OT", "RE", or missing LAB1.14.1 Order_dt variable is not SAS date value of numeric data type LAB1.14.2 Order_dt variable is not of length 4 LAB1.14.3 Order_dt variable has missing values LAB1.15.1 Lab_dt variable is not SAS date value of numeric data type LAB1.15.2 Lab_dt variable is not of length 4 LAB1.15.3 Lab_dt variable has missing values Mini-Sentinel Common Data Model - 23 - Data Quality Review Process and Programs

LAB1.16.1 Lab_tm variable is not SAS time value of numeric data type LAB1.16.2 Lab_tm variable is not of length 4 LAB1.16.3 Lab_tm variable has missing values LAB1.17.1 Result_dt variable is not SAS date value of numeric data type LAB1.17.2 Result_dt variable is not of length 4 LAB1.17.3 Result_dt variable has missing values LAB1.18.1 Result_tm variable is not SAS time value of numeric data type LAB1.18.2 Result_tm variable is not of length 4 LAB1.18.3 Result_tm variable has missing values LAB1.19.1 Orig_Result variable Is not character type LAB1.19.2 Orig_Result variable is not exactly 8 characters in length LAB1.19.3 Orig_Result variable has missing values LAB1.19.4 Orig_Result variable contains special characters ">", "<", ">=", or "<=" LAB1.19.5 Orig_Result variable contains values which imply an unresulted lab record LAB1.20.1 LAB1.20.2 LAB1.20.3 MS_Result_C variable Is not character type MS_Result_C variable is not exactly 12 characters in length MS_Result_C variable has non-missing values that are not left-justified LAB1.21.1 MS_Result_N variable is not numeric type LAB1.21.2 MS_Result_N variable is not of length 8 LAB1.21.3 MS_Result_N variable contains negative values LAB1.22.1 Modifier variable is not character type LAB1.22.2 Modifier variable is not exactly 2 characters in length LAB1.22.3 Modifier variable has missing values LAB1.22.4 Modifier variable has values other than "EQ", "GE", "GT", "LE", "LT", or "TX" LAB1.23.1 LAB1.23.2 LAB1.23.3 LAB1.24.1 LAB1.24.2 LAB1.24.3 LAB1.24.4 LAB1.24.5 LAB1.25.1 Orig_Result_unit variable is not character type Orig_Result_unit variable is not exactly 11 characters in length Orig_Result_unit variable has missing values for records where MS_Test_Name is not equal to "D_DIMER_QL", "INF_A", "INF_AB", "INF_B", "INF_NS", "INR", "PG_QL", or "TROP_T_QL" Std_Result_unit variable is not character type Std_Result_unit variable is not exactly 11 characters in length Std_Result_unit variable has missing values for records where MS_Test_Name is not equal to "D_DIMER_QL", "INF_A", "INF_AB", "INF_B", "INF_NS", "INR", "PG_QL", or "TROP_T_QL" Std_Result_unit variable has non-missing values that are not left-justified Std_Result_unit variable has values in lowercase text MS_Result_unit variable is not character type Mini-Sentinel Common Data Model - 24 - Data Quality Review Process and Programs

LAB1.25.2 LAB1.25.3 LAB1.25.4 MS_Result_unit variable is not exactly 11 characters in length MS_Result_unit variable has missing values MS_Result_unit variable has non-missing values that are not left-justified LAB1.26.1 Norm_Range_low variable is not character type LAB1.26.2 Norm_Range_low variable is not exactly 8 characters in length LAB1.26.3 Norm_Range_low variable contains special characters such as "-", ">", "<", ">=", or "<=" LAB1.27.1 Modifier_low variable is not character type LAB1.27.2 Modifier_low variable is not exactly 2 characters in length LAB1.27.3 Modifier_low variable has values other than "EQ", "GE", "GT", or missing LAB1.28.1 Norm_Range_high variable is not character type LAB1.28.2 Norm_Range_high variable is not exactly 8 characters in length LAB1.28.3 Norm_Range_high variable contains special characters such as "-", ">", "<", ">=", or "<=" LAB1.29.1 Modifier_high variable is not character type LAB1.29.2 Modifier_high variable is not exactly 2 characters in length LAB1.29.3 Modifier_high variable has values other than "EQ", "LE", "LT", or missing LAB1.30.1 LAB1.30.2 LAB1.30.3 LAB1.30.4 LAB1.32.1 LAB1.33.1 ENR_LAB2.1.8 ENR_LAB2.1.15 ENR_LAB2.1.17 LAB2.3.1 LAB2.3.2 LAB2.3.3 LAB2.3.4 LAB2.3.5 LAB2.3.6 Abn_ind variable is not character type Abn_ind variable is not exactly 2 characters in length Abn_ind variable has missing values Abn_ind variable has values other than "AB", "AH", "AL", "CH", "CL", "CR", "IN", "NL", or "UN" Order_dept variable is not character type Facility_Code variable is not character type At least one PatID in the LAB table is not in the ENR table At least one PatID in the ENR table is not in the LAB table For at least one PatID with enrollment coverage, all of the labs were collected outside of the eligible enrollment period MS_Test_Name has values "ALP" and MS_Test_Sub_Category is not missing MS_Test_Name has values "ALT" and MS_Test_Sub_Category is not missing MS_Test_Name has values "ANC" and MS_Test_Sub_Category is not missing MS_Test_Name has values "BILI_TOT" and MS_Test_Sub_Category is not missing MS_Test_Name has values "CK" and MS_Test_Sub_Category is not missing MS_Test_Name has values "CK_MB" and MS_Test_Sub_Category is not missing Mini-Sentinel Common Data Model - 25 - Data Quality Review Process and Programs

LAB2.3.7 LAB2.3.8 LAB2.3.9 LAB2.3.10 LAB2.3.11 LAB2.3.12 LAB2.3.13 LAB2.3.14 LAB2.3.15 LAB2.3.16 LAB2.3.17 LAB2.3.18 LAB2.3.19 LAB2.3.20 LAB2.3.21 LAB2.3.22 LAB2.3.23 LAB2.3.24 LAB2.3.25 LAB2.4.1 LAB2.4.2 LAB2.4.3 LAB2.4.4 MS_Test_Name has values "CK_MBI" and MS_Test_Sub_Category is not missing MS_Test_Name has values "CREATININE" and MS_Test_Sub_Category is not missing MS_Test_Name has values "D_DIMER_QL" and MS_Test_Sub_Category is not missing MS_Test_Name has value "D_DIMER_QN" and MS_Test_Sub_Category does not have values "FEU", "DDU", or "NS" MS_Test_Name has value "GLUCOSE" and MS_Test_Sub_Category does not have values "FST" or "RAN" MS_Test_Name has values "HGB" and MS_Test_Sub_Category is not missing MS_Test_Name has values "HGBA1C" and MS_Test_Sub_Category is not missing MS_Test_Name has values "INF_A" and MS_Test_Sub_Category does not have values "EIA", "IF", "NS", "PCR", or "VTC" MS_Test_Name has value "INF_AB" and MS_Test_Sub_Category does not have values "EIA", "IF", "NS", or "PCR" MS_Test_Name has values "INF_B" and MS_Test_Sub_Category does not have values "EIA", "IF", "NS", "PCR", or "VTC" MS_Test_Name has value "INF_NS" and MS_Test_Sub_Category does not have values "NS", "PCR", or "VTC" MS_Test_Name has values "INR" and MS_Test_Sub_Category is not missing MS_Test_Name has values "LIPASE" and MS_Test_Sub_Category is not missing MS_Test_Name has value "PG_QL" and MS_Test_Sub_Category does not have values "BHCG" or "HCG" MS_Test_Name has value "PG_QN" and MS_Test_Sub_Category does not have values "BHCG" or "HCG" MS_Test_Name has values "PLATELETS" and MS_Test_Sub_Category is not missing MS_Test_Name has values "TROP_I" and MS_Test_Sub_Category is not missing MS_Test_Name has values "TROP_T_QL" and MS_Test_Sub_Category is not missing MS_Test_Name has values "TROP_T_QN" and MS_Test_Sub_Category is not missing MS_Test_Name has values "ALP" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "ALT" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "ANC" and Specimen_Source does not have values "BLOOD" or "UNK" MS_Test_Name has values "BILI_TOT" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" Mini-Sentinel Common Data Model - 26 - Data Quality Review Process and Programs

LAB2.4.5 LAB2.4.6 LAB2.4.7 LAB2.4.8 LAB2.4.9 LAB2.4.10 LAB2.4.11 LAB2.4.12 LAB2.4.13 LAB2.4.14 LAB2.4.15 LAB2.4.16 LAB2.4.17 LAB2.4.18 LAB2.4.19 LAB2.4.20 LAB2.4.21 LAB2.4.22 LAB2.4.23 LAB2.4.24 LAB2.4.25 MS_Test_Name has values "CK" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "CK_MB" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "CK_MBI" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "CREATININE" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "D_DIMER_QL" and Specimen_Source does not have values "BLOOD", "PPP", or "UNK" MS_Test_Name has values "D_DIMER_QN" and Specimen_Source does not have values "BLOOD", "PPP", or "UNK" MS_Test_Name has values "GLUCOSE" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "HGB" and Specimen_Source does not have values "BLOOD" or "UNK" MS_Test_Name has values "HGBA1C" and Specimen_Source does not have values "BLOOD" or "UNK" MS_Test_Name has value "INF_A" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", or "UNK" MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "EIA" and Specimen_Source does not have values "NPH", "NSWAB", "THRT", or "UNK" MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "IF" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", or "UNK" MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "NS" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", or "UNK" MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "PCR" and Specimen_Source does not have values "NPH" or "UNK" MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "VTC" and Specimen_Source does not have values "NPH", "UNK", or "THRT" MS_Test_Name has value "INF_AB" and Specimen_Source does not have values "BAL", "NPH", "NS", "NSWAB", or "THRT" MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "EIA" and Specimen_Source does not have values "NS" or "THRT" MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "IF" and Specimen_Source does not have values "THRT" or "UNK" MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "NS" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", or "UNK" MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "PCR" and Specimen_Source does not have values "NPH" or "UNK" MS_Test_Name has value "INF_B" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", or "UNK" Mini-Sentinel Common Data Model - 27 - Data Quality Review Process and Programs

LAB2.4.26 LAB2.4.27 LAB2.4.28 LAB2.4.29 LAB2.4.30 LAB2.4.31 LAB2.4.32 LAB2.4.33 LAB2.4.34 LAB2.4.35 LAB2.4.36 LAB2.4.37 LAB2.4.38 LAB2.4.39 LAB2.4.40 LAB2.4.41 LAB2.4.42 LAB2.4.43 LAB2.4.44 MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "EIA" and Specimen_Source does not have values "NPH", "NSWAB", "THRT", "UNK" MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "IF" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", "UNK" MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "NS" and Specimen_Source does not have values "BAL", "NPH", "NSWAB", "THRT", or "UNK" MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "PCR" and Specimen_Source does not have values "NPH" or "UNK" MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "VTC" and Specimen_Source does not have values "NPH", "THRT", or "UNK" MS_Test_Name has value "INF_NS" and Specimen_Source does not have value "NPH", "SPUTUM", "THRT", or "UNK" MS_Test_Name has value "INF_NS", MS_Test_Sub_Category has value "NS" and Specimen_Source does not have value "UNK" MS_Test_Name has value "INF_NS", MS_Test_Sub_Category has value "PCR" and Specimen_Source does not have values "NPH" or "UNK" MS_Test_Name has value "INF_NS", MS_Test_Sub_Category has value "VTC" and Specimen_Source does not have value "SPUTUM", "THRT", or "UNK" MS_Test_Name has values "INR" and Specimen_Source does not have values "BLOOD", "PPP", or "UNK" MS_Test_Name has values "LIPASE" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" MS_Test_Name has values "PG_QL" and Specimen_Source does not have values "SERUM", "URINE", or "UNK" MS_Test_Name has value "PG_QL", MS_Test_Sub_Category has value "BHCG" and Specimen_Source does not have values "SERUM", "URINE", or "UNK" MS_Test_Name has value "PG_QL", MS_Test_Sub_Category has value "HCG" and Specimen_Source does not have values "SERUM", "URINE", or "UNK" MS_Test_Name has values "PG_QN" and Specimen_Source does not have values "SERUM", "URINE", or "UNK" MS_Test_Name has value "PG_QN", MS_Test_Sub_Category has value "BHCG" and Specimen_Source does not have values "SERUM", "URINE" or "UNK" MS_Test_Name has value "PG_QN", MS_Test_Sub_Category has value "HCG" and Specimen_Source does not have value "SERUM" or "UNK" MS_Test_Name has values "PLATELETS" and Specimen_Source does not have values "BLOOD" or "UNK" MS_Test_Name has values "TROP_I" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" Mini-Sentinel Common Data Model - 28 - Data Quality Review Process and Programs

LAB2.4.45 MS_Test_Name has values "TROP_T_QL" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" LAB2.4.46 MS_Test_Name has values "TROP_T_QN" and Specimen_Source does not have values "BLOOD", "PLASMA", "SERUM", "SR_PLS", or "UNK" LAB2.5.1 MS_Test_Name has value "ALP" and LOINC does not have values "16182-8", "1783-0", "33063-9", "6768-6", or missing LAB2.5.2 MS_Test_Name has value "ALT" and LOINC does not have values "1742-6", "1743-4", "1744-2", "44785-4", or missing LAB2.5.3 MS_Test_Name has value "ANC" and LOINC does not have values "26499-4", "30451-9", "751-8", "753-4", "768-2", or missing LAB2.5.4 MS_Test_Name has value "BILI_TOT" and LOINC does not have values "14631-6", "1975-2", "33898-8", "33899-6", "34543-9", "35194-0", "42719-5", "50189-0", "54363-7" or missing LAB2.5.5 MS_Test_Name has value "CK" and LOINC does not have values "2157-6", "50756-6", or missing LAB2.5.6 MS_Test_Name has value "CK_MB" and LOINC does not have values "13969-1", "2154-3", "32673-6", "49551-5", or missing LAB2.5.7 MS_Test_Name has value "CK_MBI" and LOINC does not have values "12187-1", "12189-7", "20569-0", "49136-5", or missing LAB2.5.8 MS_Test_Name has value "CREATININE" and LOINC does not have values "14682-9", "21232-4", "2160-0", "35203-9", "38483-4", "44784-7", "54052-6", "59826-8", or missing LAB2.5.9 MS_Test_Name has value "D_DIMER_QL" and LOINC does not have values "15179-5", "29280-5", "3247-4", or missing LAB2.5.10 MS_Test_Name has value "D_DIMER_QN" and LOINC does not have values "15129-0", "30240-6", "3246-6", "38898-3", "48058-2", "48065-7", "48066-5", "48067-3", "55398-2", "55449-3", "7799-0", or missing LAB2.5.11 MS_Test_Name has value "D_DIMER_QN", MS_Test_Sub_Category has value "DDU", and LOINC does not have values "48058-2", "48066-5", or missing LAB2.5.12 LAB2.5.13 LAB2.5.14 LAB2.5.15 MS_Test_Name has value "D_DIMER_QN", MS_Test_Sub_Category has value "FEU", and LOINC does not have value "48065-7", "48067-3", "55449-3", or missing MS_Test_Name has value "D_DIMER_QN", MS_Test_Sub_Category has value "NS", and LOINC does not have values "15129-0", "30240-6", "3246-6", "38898-3", "55398-2", "7799-0", or missing MS_Test_Name has value "GLUCOSE" and LOINC does not have values "10450-5", "14743-9", "14749-6", "14770-2", "14771-0", "15074-8", "1554-5", "1556-0", "1557-8", "1558-6", "17865-7", "2339-0", "2340-8", "2341-6", "2345-7", "32016-8", "35184-1", "35211-2", "39480-9", "39481-7", "41604-0", "41651-1", "41652-9", "41653-7", "51596-5", or missing MS_Test_Name has value "GLUCOSE", MS_Test_Sub_Category has value "FST", and LOINC does not have values "10450-5", "14770-2", "14771-0", "1554-5", "1556-0", "1557-8", "1558-6", "17865-7", "35184-1", "41604-0", or missing Mini-Sentinel Common Data Model - 29 - Data Quality Review Process and Programs

LAB2.5.16 MS_Test_Name has value "GLUCOSE", MS_Test_Sub_Category has value "RAN", and LOINC does not have values "14743-9", "14749-6", "15074-8", "2339-0", "2340-8", "2341-6", "2345-7", "32016-8", "35211-2", "39480-9", "39481-7", "41651-1", "41652-9", "41653-7", "51596-5", or missing LAB2.5.17 MS_Test_Name has value "HGB" and LOINC does not have values "14775-1", "20509-6", "24360-0", "30313-1", "30350-3", "30351-1", "30352-9", "55782-7", "59260-0", "718-7", or missing LAB2.5.18 MS_Test_Name has value "HGBA1C" and LOINC does not have values "17855-8", "17856-6", "43150-2", "4548-4", "4549-2", "59261-8", "62388-4", "71875-9", or missing LAB2.5.19 MS_Test_Name has value "INF_A" and LOINC does not have values "31858-4", "31859-2", "34487-9", "38381-0", "39025-2", "39102-9", "39103-7", "40981-3", "43874-7", "44263-2", "44558-5", "44559-3", "44560-1", "44562-7", "44563-5", "44564-3", "46082-4", "48310-7", "53250-7", "55463-4", "55464-2", "55465-9", "5860-2", "5861-0", "5862-8", "5863-6", "59423-4", "61101-2", or missing LAB2.5.20 MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "EIA" and LOINC does not have values "44564-3", "46082-4", "5860-2", "5862-8", or missing LAB2.5.21 MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "IF" and LOINC does not have values "44558-5", "44559-3", "44560-1", "5861-0", "5863-6", or missing LAB2.5.22 MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "NS" and LOINC does not have values "31858-4", "31859-2", "43874-7", "44562-7", "44563-5", or missing LAB2.5.23 MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "PCR" and LOINC does not have values "34487-9", "38381-0", "39025-2", "39102-9", "39103-7", "40981-3", "44263-2", "53250-7", "55463-4", "55464-2", "55465-9", "59423-4", "61101-2", or missing LAB2.5.24 MS_Test_Name has value "INF_A", MS_Test_Sub_Category has value "VTC" and LOINC does not have value "48310-7" or missing LAB2.5.25 MS_Test_Name has value "INF_A", Specimen_Source has value "BAL" and LOINC does not have values "44559-3", "44562-7", or missing LAB2.5.26 MS_Test_Name has value "INF_A", Specimen_Source has value "NPH" and LOINC does not have values "43874-7", "44558-5", "46082-4", or missing LAB2.5.27 LAB2.5.28 MS_Test_Name has value "INF_A", Specimen_Source has value "NS" and LOINC does not have values "31859-2", "34487-9", "38381-0", "39025-2", "39102-9", "39103-7", "40981-3", "44263-2", "48310-7", "53250-7", "55463-4", "55464-2", "55465-9", "5862-8", "5863-6", "59423-4", "61101-2", or missing MS_Test_Name has value "INF_A", Specimen_Source has value "NSWAB" and LOINC does not have values "44560-1", "44563-5", "44564-3", or missing Mini-Sentinel Common Data Model - 30 - Data Quality Review Process and Programs

LAB2.5.29 MS_Test_Name has value "INF_A", Specimen_Source has value "THRT" and LOINC does not have values "31858-4", "5860-2", "5861-0", or missing LAB2.5.30 MS_Test_Name has value "INF_AB" and LOINC does not have values "24015-0", "31860-0", "31861-8", "31862-6", "33535-6", "44566-8", "44567-6", "48509-4", "61102-0", "62462-7", "6435-2", "6436-0", "6437-8", "6438-6", "6439-4", "6440-2", "6441-0", "6442-8", or missing LAB2.5.31 LAB2.5.32 LAB2.5.33 LAB2.5.34 LAB2.5.35 LAB2.5.36 LAB2.5.37 MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "EIA" and LOINC does not have values "6435-2", "6437-8", "6439-4", "6441-0", or missing MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "IF" and LOINC does not have values "61102-0", "6436-0", "6438-6", "6440-2", "6442-8", or missing MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "NS" and LOINC does not have values "24015-0", "31860-0", "31861-8", "31862-6", "33535-6", "44566-8", "44567-6", or missing MS_Test_Name has value "INF_AB", MS_Test_Sub_Category has value "PCR" and LOINC does not have values "48509-4", "62462-7", or missing MS_Test_Name has value "INF_AB", Specimen_Source has value "BAL" and LOINC does not have value "44566-8" or missing MS_Test_Name has value "INF_AB", Specimen_Source has value "NPH" and LOINC does not have value "33535-6" or missing MS_Test_Name has value "INF_AB", Specimen_Source has value "NS" and LOINC does not have values "24015-0", "31862-6", "48509-4", "61102-0", "62462-7", "6437-8", "6438-6", "6441-0", "6442-8", or missing LAB2.5.38 MS_Test_Name has value "INF_AB", Specimen_Source has value "NSWAB" and LOINC does not have value "44567-6" or missing LAB2.5.39 MS_Test_Name has value "INF_AB", Specimen_Source has value "THRT" and LOINC does not have value "31860-0", "31861-8", "6435-2", "6436-0", "6439-4", "6440-2", or missing LAB2.5.40 MS_Test_Name has value "INF_B" and LOINC does not have values "31863-4", "31864-2", "38382-8", "40982-1", "43895-2", "44571-8", "44572-6", "44573-4", "44575-9", "44576-7", "44577-5", "46083-2", "53251-5", "5864-4", "5865-1", "5866-9", "5867-7", or missing LAB2.5.41 MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "EIA" and LOINC does not have values "44575-9", "46083-2", "5864-4", "5866-9", or missing LAB2.5.42 MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "IF" and LOINC does not have values "44571-8", "44572-6", "44573-4", "5865-1", "5867-7", or missing LAB2.5.43 MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "NS" and LOINC does not have values "31863-4", "31864-2", "43895-2", "44576-7", "44577-5", or missing Mini-Sentinel Common Data Model - 31 - Data Quality Review Process and Programs

LAB2.5.44 LAB2.5.45 LAB2.5.46 LAB2.5.47 LAB2.5.48 LAB2.5.49 LAB2.5.50 MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "PCR" and LOINC does not have values "40982-1", "53251-5", or missing MS_Test_Name has value "INF_B", MS_Test_Sub_Category has value "VTC" and LOINC does not have value "38382-8" or missing MS_Test_Name has value "INF_B", Specimen_Source has value "BAL" and LOINC does not have values "44572-6", "44576-7", or missing MS_Test_Name has value "INF_B", Specimen_Source has value "NPH" and LOINC does not have values "43895-2", "44571-8", "46083-2", or missing MS_Test_Name has value "INF_B", Specimen_Source has value "NS" and LOINC does not have values "31864-2", "38382-8", "40982-1", "53251-5", "5866-9", "5867-7", or missing MS_Test_Name has value "INF_B", Specimen_Source has value "NSWAB" and LOINC does not have values "44573-4", "44575-9", "44577-5", or missing MS_Test_Name has value "INF_B", Specimen_Source has value "THRT" and LOINC does not have values "31863-4", "5864-4", "5865-1", or missing LAB2.5.51 MS_Test_Name has value "INF_NS" and LOINC does not have value "54240-7", "54243-1", "54244-9", "6601-9", "6602-7", "6603-5", "6604-3" or missing LAB2.5.52 LAB2.5.53 LAB2.5.54 LAB2.5.55 LAB2.5.56 MS_Test_Name has value "INF_NS", MS_Test_Sub_Category has value "NS" and LOINC does not have values "54240-7", "54244-9", or missing MS_Test_Name has value "INF_NS", MS_Test_Sub_Category has value "PCR" and LOINC does not have value "54243-1" or missing MS_Test_Name has value "INF_NS", MS_Test_Sub_Category has value "VTC" and LOINC does not have values "6601-9", "6602-7", "6603-5", "6604-3", or missing MS_Test_Name has value "INF_NS", Specimen_Source has value "NS" and LOINC does not have values "54240-7", "54243-1", "54244-9", "6604-3", or missing MS_Test_Name has value "INF_NS", Specimen_Source has value "SPUTUM" and LOINC does not have values "6601-9", "6602-7", or missing LAB2.5.57 MS_Test_Name has value "INF_NS", Specimen_Source has value "THRT" and LOINC does not have value "6603-5" or missing LAB2.5.58 MS_Test_Name has value "INR" and LOINC does not have values "34714-6", "46418-0", "6301-6", or missing LAB2.5.59 MS_Test_Name has value "LIPASE" and LOINC does not have values "2572-6", "3040-3", or missing LAB2.5.60 MS_Test_Name has value "PG_QL" and LOINC does not have values "2106-3", "2110-5", "2112-1", "2116-2", "2118-8", or missing LAB2.5.61 MS_Test_Name has value "PG_QL", MS_Test_Sub_Category has value "HCG", and LOINC does not have values "2106-3", "2116-2", "2118-8", or missing Mini-Sentinel Common Data Model - 32 - Data Quality Review Process and Programs

LAB2.5.62 LAB2.5.63 LAB2.5.64 MS_Test_Name has value "PG_QL", MS_Test_Sub_Category has value "BHCG", and LOINC does not have values "2110-5", "2112-1", or missing MS_Test_Name has value "PG_QL", Specimen_Source has value "SERUM", and LOINC does not have values "2110-5", "2116-2", "2118-8", or missing MS_Test_Name has value "PG_QL", Specimen_Source has value "URINE", and LOINC does not have values "2106-3", "2112-1", or missing LAB2.5.65 MS_Test_Name has value "PG_QN" and LOINC does not have values "19080-1", "20415-6", "2114-7", "2115-4", "2117-0", "21198-7", "45194-8", or missing LAB2.5.66 MS_Test_Name has value "PG_QN", MS_Test_Sub_Category has value "HCG", and LOINC does not have value "19080-1", "2117-0", or missing LAB2.5.67 MS_Test_Name has value "PG_QN", MS_Test_Sub_Category has value "BHCG", and LOINC does not have values "20415-6", "2114-7", "2115-4", "21198-7", "45194-8", or missing LAB2.5.68 MS_Test_Name has value "PG_QN", Specimen_Source has value "SERUM", and LOINC does not have values "19080-1", "20415-6", "2115-4", "2117-0", "21198-7", "45194-8", or missing LAB2.5.69 MS_Test_Name has value "PG_QN", Specimen_Source has value "URINE", and LOINC does not have value "2114-7" or missing LAB2.5.70 MS_Test_Name has value "PLATELETS" and LOINC does not have values "13056-7", "24361-8", "26515-7", "777-3", "778-1", or missing LAB2.5.71 MS_Test_Name has value "TROP_I" and LOINC does not have values "10839-9", "16255-2", "42757-5", "49563-0", or missing LAB2.5.72 MS_Test_Name has value "TROP_T_QL" and LOINC does not have values "33204-9", "48426-1", or missing LAB2.5.73 MS_Test_Name has value "TROP_T_QN" and LOINC does not have values "48425-3", "6597-9", "6598-7", or missing LAB2.12.1 MS_Test_Name has value "ALP", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80050", "80053", "80076", "84075", or missing LAB2.12.2 LAB2.12.3 LAB2.12.4 LAB2.12.5 LAB2.12.6 MS_Test_Name has value "ALT", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80050", "80053", "80076", "84460", or missing MS_Test_Name has value "ANC", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "85048" or missing MS_Test_Name has value "BILI_TOT", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80050", "80053", "80076", "82247", or missing MS_Test_Name has value "CK", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "82550" or missing MS_Test_Name has value "CK_MB", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "82553" or missing Mini-Sentinel Common Data Model - 33 - Data Quality Review Process and Programs

LAB2.12.7 LAB2.12.8 LAB2.12.9 LAB2.12.10 LAB2.12.11 LAB2.12.12 LAB2.12.13 LAB2.12.14 LAB2.12.15 LAB2.12.16 LAB2.12.17 LAB2.12.18 LAB2.12.19 LAB2.15.1 LAB2.17.1 LAB2.20.1 LAB2.20.2 LAB2.20.3 LAB2.20.4 LAB2.20.5 LAB2.20.6 LAB2.20.7 LAB2.20.8 MS_Test_Name has value "CK_MBI", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "82550", "82553", or missing MS_Test_Name has value "CREATININE", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80047", "80048", "80050", "80053", "80069", "82565", "82575", or missing MS_Test_Name has value "D_DIMER_QL", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "85378", "85379", "85362", or missing MS_Test_Name has value "D_DIMER_QN", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "85378", "85379", "85362", or missing MS_Test_Name has value "GLUCOSE", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80047", "80048", "80050", "80053", "80069", "82947", or missing MS_Test_Name has value "HGB", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80050", "80053", "85018", "85025", "85027", "83026", or missing MS_Test_Name has value "HGBA1C", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "83036", "83037", or missing MS_Test_Name has value "INR", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "85610" or missing MS_Test_Name has value "LIPASE", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "83690" or missing MS_Test_Name has value "PLATELETS", PX_Codetype has values "C2", "C3", or "C4", and PX does not have values "80050", "80053", or missing MS_Test_Name has value "TROP_I", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "84484" or missing MS_Test_Name has value "TROP_T_QL", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "84512" or missing MS_Test_Name has value "TROP_T_QN", PX_Codetype has values "C2", "C3", or "C4", and PX does not have value "84484" or missing Lab_dt variable is before Order_dt variable Result_dt variable is before Lab_dt variable MS_Test_Name has value "ALP" and result type is text MS_Test_Name has value "ALT" and result type is text MS_Test_Name has value "ANC" and result type is text MS_Test_Name has value "BILI_TOT" and result type is text MS_Test_Name has value "CK" and result type is text MS_Test_Name has value "CK_MB" and result type is text MS_Test_Name has value "CK_MBI" and result type is text MS_Test_Name has value "CREATININE" and result type is text Mini-Sentinel Common Data Model - 34 - Data Quality Review Process and Programs

LAB2.20.9 LAB2.20.10 LAB2.20.11 LAB2.20.12 LAB2.20.13 LAB2.20.14 LAB2.20.15 LAB2.20.16 LAB2.20.17 LAB2.20.18 LAB2.20.19 LAB2.20.20 LAB2.20.21 LAB2.20.22 LAB2.20.23 LAB2.20.24 LAB2.20.25 LAB2.20.26 LAB2.21.1 LAB2.21.2 LAB2.21.3 LAB2.21.4 LAB2.21.5 LAB2.21.6 LAB2.21.7 LAB2.21.8 LAB2.21.9 LAB2.21.10 LAB2.21.11 MS_Test_Name has value "D_DIMER_QL" and result type is text but has an unexpected value MS_Test_Name has value "D_DIMER_QN" and result type is text MS_Test_Name has value "GLUCOSE" and result type is text MS_Test_Name has value "HGB" and result type is text MS_Test_Name has value "HGBA1C" and result type is text MS_Test_Name has value "INF_A" and result type is text but has an unexpected value MS_Test_Name has value "INF_AB" and result type is text but has an unexpected value MS_Test_Name has value "INF_B" and result type is text but has an unexpected value MS_Test_Name has value "INF_NS" and result type is text but has an unexpected value MS_Test_Name has value "INR" and result type is text MS_Test_Name has value "LIPASE" and result type is text MS_Test_Name has value "PG_QL" and result type is text but has an unexpected value MS_Test_Name has value "PG_QN" and result type is text MS_Test_Name has value "PLATELETS" and result type is text MS_Test_Name has value "TROP_I" and result type is text MS_Test_Name has value "TROP_T_QL" and result type is text but has an unexpected value MS_Test_Name has value "TROP_T_QN" and result type is text Both MS_Result_C and MS_Result_N variables have missing values MS_Test_Name has value "ALP" and result type is numeric but missing MS_Test_Name has value "ALT" and result type is numeric but missing MS_Test_Name has value "ANC" and result type is numeric but missing MS_Test_Name has value "BILI_TOT" and result type is numeric but missing MS_Test_Name has value "CK" and result type is numeric but missing MS_Test_Name has value "CK_MB" and result type is numeric but missing MS_Test_Name has value "CK_MBI" and result type is numeric but missing MS_Test_Name has value "CREATININE" and result type is numeric but missing MS_Test_Name has value "D_DIMER_QL" and result type is numeric MS_Test_Name has value "D_DIMER_QN" and result type is numeric but missing MS_Test_Name has value "GLUCOSE" and result type is numeric but missing Mini-Sentinel Common Data Model - 35 - Data Quality Review Process and Programs

LAB2.21.12 LAB2.21.13 LAB2.21.14 LAB2.21.15 LAB2.21.16 LAB2.21.17 LAB2.21.18 LAB2.21.19 LAB2.21.20 LAB2.21.21 LAB2.21.22 LAB2.21.23 LAB2.21.24 LAB2.21.25 LAB2.22.1 LAB2.22.2 LAB2.22.3 LAB2.22.4 LAB2.22.5 LAB2.22.6 LAB2.22.7 LAB2.23.1 LAB2.23.2 LAB2.23.3 LAB2.23.4 LAB2.23.5 MS_Test_Name has value "HGB" and result type is numeric but missing MS_Test_Name has value "HGBA1C" and result type is numeric but missing MS_Test_Name has value "INF_A" and result type is numeric MS_Test_Name has value "INF_AB" and result type is numeric MS_Test_Name has value "INF_B" and result type is numeric MS_Test_Name has value "INF_NS" and result type is numeric MS_Test_Name has value "INR" and result type is numeric but missing MS_Test_Name has value "LIPASE" and result type is numeric but missing MS_Test_Name has value "PG_QL" and result type is numeric MS_Test_Name has value "PG_QN" and result type is numeric but missing MS_Test_Name has value "PLATELETS" and result type is numeric but missing MS_Test_Name has value "TROP_I" and result type is numeric but missing MS_Test_Name has value "TROP_T_QL" and result type is numeric MS_Test_Name has value "TROP_T_QN" and result type is numeric but missing MS_Test_Name variable has values "D_DIMER_QL" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name variable has values "INF_A" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name variable has values "INF_AB" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name variable has values "INF_B" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name variable has values "INF_NS" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name variable has values "PG_QL" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name variable has values "TROP_T_QL" and Modifier has values "EQ", "GE", "GT", LE", or "LT" MS_Test_Name has value "ALP" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "ALT" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "ANC" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "BILI_TOT" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "CK" and Orig_Result_unit is inconsistent with MS_Test_Name Mini-Sentinel Common Data Model - 36 - Data Quality Review Process and Programs

LAB2.23.6 LAB2.23.7 LAB2.23.8 LAB2.23.9 LAB2.23.10 LAB2.23.11 LAB2.23.12 LAB2.23.13 LAB2.23.14 LAB2.23.15 LAB2.23.16 LAB2.23.17 LAB2.23.18 LAB2.23.19 LAB2.23.20 LAB2.23.21 LAB2.23.22 LAB2.23.23 LAB2.23.24 LAB2.23.25 LAB2.24.1 LAB2.24.2 LAB2.24.3 MS_Test_Name has value "CK_MB" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "CK_MBI" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "CREATININE" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "D_DIMER_QL" and Orig_Result_unit is not missing MS_Test_Name has value "D_DIMER_QN" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "GLUCOSE" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "HGB" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "HGBA1C" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "INF_A" and Orig_Result_unit is not missing MS_Test_Name has value "INF_AB" and Orig_Result_unit is not missing MS_Test_Name has value "INF_B" and Orig_Result_unit is not missing MS_Test_Name has value "INF_NS" and Orig_Result_unit is not missing MS_Test_Name has value "INR" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "LIPASE" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "PG_QL" and Orig_Result_unit is not missing MS_Test_Name has value "PG_QN" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "PLATELETS" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "TROP_I" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "TROP_T_QL" and Orig_Result_unit is not missing MS_Test_Name has value "TROP_T_QN" and Orig_Result_unit is inconsistent with MS_Test_Name MS_Test_Name has value "ALP" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "ALT" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "ANC" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied Mini-Sentinel Common Data Model - 37 - Data Quality Review Process and Programs

LAB2.24.4 LAB2.24.5 LAB2.24.6 LAB2.24.7 LAB2.24.8 LAB2.24.9 LAB2.24.10 LAB2.24.11 LAB2.24.12 LAB2.24.13 LAB2.24.14 LAB2.24.15 LAB2.24.16 LAB2.24.17 LAB2.24.18 LAB2.24.19 LAB2.24.20 LAB2.24.21 LAB2.24.22 MS_Test_Name has value "BILI_TOT" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "CK" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "CK_MB" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "CK_MBI" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "CREATININE" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "D_DIMER_QL" and Std_Result_unit is not missing MS_Test_Name has value "D_DIMER_QN" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "GLUCOSE" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "HGB" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "HGBA1C" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "INF_A" and Std_Result_unit is not missing MS_Test_Name has value "INF_AB" and Std_Result_unit is not missing MS_Test_Name has value "INF_B" and Std_Result_unit is not missing MS_Test_Name has value "INF_NS" and Std_Result_unit is not missing MS_Test_Name has value "INR" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "LIPASE" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "PG_QL" and Std_Result_unit is not missing MS_Test_Name has value "PG_QN" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "PLATELETS" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied Mini-Sentinel Common Data Model - 38 - Data Quality Review Process and Programs

LAB2.24.23 LAB2.24.24 LAB2.24.25 LAB2.25.1 LAB2.25.2 LAB2.25.3 LAB2.25.4 LAB2.25.5 LAB2.25.6 LAB2.25.7 LAB2.25.8 LAB2.25.9 LAB2.25.10 LAB2.25.11 LAB2.25.12 LAB2.25.13 LAB2.25.14 MS_Test_Name has value "TROP_I" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "TROP_T_QL" and Std_Result_unit is not missing MS_Test_Name has value "TROP_T_QN" and Std_Result_unit does not equal the Orig_Result_unit value in uppercase text with standard abbreviations applied MS_Test_Name has value "ALP" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "U/L" MS_Test_Name has value "ALT" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "U/L" MS_Test_Name has value "ANC" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "K/UL" MS_Test_Name has value "BILI_TOT" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "MG/DL" MS_Test_Name has value "CK" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "U/L" MS_Test_Name has value "CK_MB" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have values "U/L" or "NG/ML" MS_Test_Name has value "CK_MBI" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "PERCENT" MS_Test_Name has value "CREATININE" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "MG/DL" MS_Test_Name has value "D_DIMER_QL" and MS_Result_unit is not missing MS_Test_Name has value "D_DIMER_QN" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "NG/ML" MS_Test_Name has value "GLUCOSE" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "MG/DL" MS_Test_Name has value "HGB" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "G/DL" MS_Test_Name has value "HGBA1C" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "PERCENT" MS_Test_Name has value "INF_A" and MS_Result_unit is not missing Mini-Sentinel Common Data Model - 39 - Data Quality Review Process and Programs

LAB2.25.15 LAB2.25.16 LAB2.25.17 LAB2.25.18 LAB2.25.19 LAB2.25.20 LAB2.25.21 LAB2.25.22 LAB2.25.23 LAB2.25.24 LAB2.25.25 LAB2.25.26 LAB2.25.27 LAB2.25.28 LAB2.25.29 LAB2.25.30 LAB2.25.31 LAB2.25.32 MS_Test_Name has value "INF_AB" and MS_Result_unit is not missing MS_Test_Name has value "INF_B" and MS_Result_unit is not missing MS_Test_Name has value "INF_NS" and MS_Result_unit is not missing MS_Test_Name has value "INR" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value of blank/missing MS_Test_Name has value "LIPASE" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "U/L" MS_Test_Name has value "PG_QL" and MS_Result_unit is not missing MS_Test_Name has value "PG_QN" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "MIU/ML" MS_Test_Name has value "PLATELETS" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "K/UL" MS_Test_Name has value "TROP_I" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "NG/ML" MS_Test_Name has value "TROP_T_QL" and MS_Result_unit is not missing MS_Test_Name has value "TROP_T_QN" and Orig_Result_Unit has a value listed in column C of "Result_Unit_Lookup" and "MS_Result_unit does not have value "NG/ML" MS_Test_Name has value of "ALT" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "CK" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "CREATININE" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "GLUCOSE" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "HGBA1C" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "ALP" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "ANC" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" Mini-Sentinel Common Data Model - 40 - Data Quality Review Process and Programs

LAB2.25.33 LAB2.25.34 LAB2.25.35 LAB2.25.36 LAB2.25.37 LAB2.25.38 LAB2.25.39 LAB2.25.40 LAB2.25.41 LAB2.25.42 LAB2.25.43 LAB2.25.44 LAB2.25.45 LAB2.25.46 LAB2.25.47 LAB2.25.48 LAB2.25.49 LAB2.25.50 MS_Test_Name has value of "BILI_TOT" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "CK_MB" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "CK_MBI" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "D_DIMER_QN" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "HGB" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "INR" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "LIPASE" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "PG_QN" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "PLATELETS" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "TROP_I" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "TROP_T_QN" and Orig_Result_Unit has a value listed in column D of "Result_Unit_Lookup" and MS_Result_Unit does not have value "UNKNOWN" MS_Test_Name has value of "ALT" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "ALP" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "ANC" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "BILI_TOT" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "CK" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "CK_MB" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "CK_MBI" and Orig_Result_Unit converted to MS_Result_Unit incorrectly Mini-Sentinel Common Data Model - 41 - Data Quality Review Process and Programs

LAB2.25.51 LAB2.25.52 LAB2.25.53 LAB2.25.54 LAB2.25.55 LAB2.25.56 LAB2.25.57 LAB2.25.58 LAB2.25.59 LAB2.25.60 LAB2.25.61 LAB3.0.1 LAB3.1.1 LAB3.1.2 LAB3.1.3 LAB3.1.4 LAB3.1.5 LAB3.1.6 LAB3.1.7 LAB3.1.8 LAB3.1.9 LAB3.1.10 LAB3.1.11 LAB3.1.12 LAB3.1.13 MS_Test_Name has value of "CREATININE" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "D_DIMER_QN" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "GLUCOSE" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "HGB" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "HGBA1C" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "INR" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "LIPASE" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "PG_QN" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "PLATELETS" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "TROP_I" and Orig_Result_Unit converted to MS_Result_Unit incorrectly MS_Test_Name has value of "TROP_T_QN" and Orig_Result_Unit converted to MS_Result_Unit incorrectly Significant change in number of records between Problem with number of unique PatIDs (overall) Problem with number of unique PatIDs (per year) Problem with number of unique PatIDs (overall) across Problem with number of unique PatIDs (per year) across Problem with number of unique PatIDs with at least one "ALP" result (overall) Problem with number of unique PatIDs with at least one "ALP" result (per year) Problem with number of unique PatIDs with at least one "ALP" result (overall) across Problem with number of unique PatIDs with at least one "ALP" result (per year) across Problem with number of unique PatIDs with at least one normal "ALP" result (per year) Problem with number of unique PatIDs with at least one abnormal "ALP" result (per year) Problem with number of unique PatIDs with at least one normal "ALP" result (per year) across Problem with number of unique PatIDs with at least one abnormal "ALP" result (per year) across Problem with number of unique PatIDs with at least one "ALT" result (overall) Mini-Sentinel Common Data Model - 42 - Data Quality Review Process and Programs

LAB3.1.14 LAB3.1.15 LAB3.1.16 LAB3.1.17 LAB3.1.18 LAB3.1.19 LAB3.1.20 LAB3.1.21 LAB3.1.22 LAB3.1.23 LAB3.1.24 LAB3.1.25 LAB3.1.26 LAB3.1.27 LAB3.1.28 LAB3.1.29 LAB3.1.30 LAB3.1.31 LAB3.1.32 LAB3.1.33 LAB3.1.34 LAB3.1.35 LAB3.1.36 Problem with number of unique PatIDs with at least one "ALT" result (per year) Problem with number of unique PatIDs with at least one "ALT" result (overall) across Problem with number of unique PatIDs with at least one "ALT" result (per year) across Problem with number of unique PatIDs with at least one normal "ALT" result (per year) Problem with number of unique PatIDs with at least one abnormal "ALT" result (per year) Problem with number of unique PatIDs with at least one normal "ALT" result (per year) across Problem with number of unique PatIDs with at least one abnormal "ALT" result (per year) across Problem with number of unique PatIDs with at least one "ANC" result (overall) Problem with number of unique PatIDs with at least one "ANC" result (per year) Problem with number of unique PatIDs with at least one "ANC" result (overall) across Problem with number of unique PatIDs with at least one "ANC" result (per year) across Problem with number of unique PatIDs with at least one normal "ANC" result (per year) Problem with number of unique PatIDs with at least one abnormal "ANC" result (per year) Problem with number of unique PatIDs with at least one normal "ANC" result (per year) across Problem with number of unique PatIDs with at least one abnormal "ANC" result (per year) across Problem with number of unique PatIDs with at least one "BILI_TOT" result (overall) Problem with number of unique PatIDs with at least one "BILI_TOT" result (per year) Problem with number of unique PatIDs with at least one "BILI_TOT" result (overall) across Problem with number of unique PatIDs with at least one "BILI_TOT" result (per year) across Problem with number of unique PatIDs with at least one normal "BILI_TOT" result (per year) Problem with number of unique PatIDs with at least one abnormal "BILI_TOT" result (per year) Problem with number of unique PatIDs with at least one normal "BILI_TOT" result (per year) across Problem with number of unique PatIDs with at least one abnormal "BILI_TOT" result (per year) across Mini-Sentinel Common Data Model - 43 - Data Quality Review Process and Programs

LAB3.1.37 LAB3.1.38 LAB3.1.39 LAB3.1.40 LAB3.1.41 LAB3.1.42 LAB3.1.43 LAB3.1.44 LAB3.1.45 LAB3.1.46 LAB3.1.47 LAB3.1.48 LAB3.1.49 LAB3.1.50 LAB3.1.51 LAB3.1.52 LAB3.1.53 LAB3.1.54 LAB3.1.55 LAB3.1.56 LAB3.1.57 LAB3.1.58 LAB3.1.59 Problem with number of unique PatIDs with at least one "CK" result (overall) Problem with number of unique PatIDs with at least one "CK" result (per year) Problem with number of unique PatIDs with at least one "CK" result (overall) across Problem with number of unique PatIDs with at least one "CK" result (per year) across Problem with number of unique PatIDs with at least one normal "CK" result (per year) Problem with number of unique PatIDs with at least one abnormal "CK" result (per year) Problem with number of unique PatIDs with at least one normal "CK" result (per year) across Problem with number of unique PatIDs with at least one abnormal "CK" result (per year) across Problem with number of unique PatIDs with at least one "CK_MB" result (overall) Problem with number of unique PatIDs with at least one "CK_MB" result (per year) Problem with number of unique PatIDs with at least one "CK_MB" result (overall) across Problem with number of unique PatIDs with at least one "CK_MB" result (per year) across Problem with number of unique PatIDs with at least one normal "CK_MB" result (per year) Problem with number of unique PatIDs with at least one abnormal "CK_MB" result (per year) Problem with number of unique PatIDs with at least one normal "CK_MB" result (per year) across Problem with number of unique PatIDs with at least one abnormal "CK_MB" result (per year) across Problem with number of unique PatIDs with at least one "CK_MBI" result (overall) Problem with number of unique PatIDs with at least one "CK_MBI" result (per year) Problem with number of unique PatIDs with at least one "CK_MBI" result (overall) across Problem with number of unique PatIDs with at least one "CK_MBI" result (per year) across Problem with number of unique PatIDs with at least one normal "CK_MBI" result (per year) Problem with number of unique PatIDs with at least one abnormal "CK_MBI" result (per year) Problem with number of unique PatIDs with at least one normal "CK_MBI" result (per year) across Mini-Sentinel Common Data Model - 44 - Data Quality Review Process and Programs

LAB3.1.60 LAB3.1.61 LAB3.1.62 LAB3.1.63 LAB3.1.64 LAB3.1.65 LAB3.1.66 LAB3.1.67 LAB3.1.68 LAB3.1.69 LAB3.1.70 LAB3.1.71 LAB3.1.72 LAB3.1.73 LAB3.1.74 LAB3.1.75 LAB3.1.76 LAB3.1.77 LAB3.1.78 LAB3.1.79 LAB3.1.80 LAB3.1.81 LAB3.1.82 Problem with number of unique PatIDs with at least one abnormal "CK_MBI" result (per year) across Problem with number of unique PatIDs with at least one "CREATININE" result (overall) Problem with number of unique PatIDs with at least one "CREATININE" result (per year) Problem with number of unique PatIDs with at least one "CREATININE" result (overall) across Problem with number of unique PatIDs with at least one "CREATININE" result (per year) across Problem with number of unique PatIDs with at least one normal "CREATININE" result (per year) Problem with number of unique PatIDs with at least one abnormal "CREATININE" result (per year) Problem with number of unique PatIDs with at least one normal "CREATININE" result (per year) across Problem with number of unique PatIDs with at least one abnormal "CREATININE" result (per year) across Problem with number of unique PatIDs with at least one "D_DIMER_QL" result (overall) Problem with number of unique PatIDs with at least one "D_DIMER_QL" result (per year) Problem with number of unique PatIDs with at least one "D_DIMER_QL" result (overall) across Problem with number of unique PatIDs with at least one "D_DIMER_QL" result (per year) across Problem with number of unique PatIDs with at least one normal "D_DIMER_QL" result (per year) Problem with number of unique PatIDs with at least one abnormal "D_DIMER_QL" result (per year) Problem with number of unique PatIDs with at least one normal "D_DIMER_QL" result (per year) across Problem with number of unique PatIDs with at least one abnormal "D_DIMER_QL" result (per year) across Problem with number of unique PatIDs with at least one "D_DIMER_QN" result (overall) Problem with number of unique PatIDs with at least one "D_DIMER_QN" result (per year) Problem with number of unique PatIDs with at least one "D_DIMER_QN" result (overall) across Problem with number of unique PatIDs with at least one "D_DIMER_QN" result (per year) across Problem with number of unique PatIDs with at least one normal "D_DIMER_QN" result (per year) Problem with number of unique PatIDs with at least one abnormal "D_DIMER_QN" result (per year) Mini-Sentinel Common Data Model - 45 - Data Quality Review Process and Programs

LAB3.1.83 LAB3.1.84 LAB3.1.85 LAB3.1.86 LAB3.1.87 LAB3.1.88 LAB3.1.89 LAB3.1.90 LAB3.1.91 LAB3.1.92 LAB3.1.93 LAB3.1.94 LAB3.1.95 LAB3.1.96 LAB3.1.97 LAB3.1.98 LAB3.1.99 LAB3.1.100 LAB3.1.101 LAB3.1.102 LAB3.1.103 LAB3.1.104 LAB3.1.105 Problem with number of unique PatIDs with at least one normal "D_DIMER_QN" result (per year) across Problem with number of unique PatIDs with at least one abnormal "D_DIMER_QN" result (per year) across Problem with number of unique PatIDs with at least one "GLUCOSE" result (overall) Problem with number of unique PatIDs with at least one "GLUCOSE" result (per year) Problem with number of unique PatIDs with at least one "GLUCOSE" result (overall) across Problem with number of unique PatIDs with at least one "GLUCOSE" result (per year) across Problem with number of unique PatIDs with at least one normal "GLUCOSE" result (per year) Problem with number of unique PatIDs with at least one abnormal "GLUCOSE" result (per year) Problem with number of unique PatIDs with at least one normal "GLUCOSE" result (per year) across Problem with number of unique PatIDs with at least one abnormal "GLUCOSE" result (per year) across Problem with number of unique PatIDs with at least one "HGB" result (overall) Problem with number of unique PatIDs with at least one "HGB" result (per year) Problem with number of unique PatIDs with at least one "HGB" result (overall) across Problem with number of unique PatIDs with at least one "HGB" result (per year) across Problem with number of unique PatIDs with at least one normal "HGB" result (per year) Problem with number of unique PatIDs with at least one abnormal "HGB" result (per year) Problem with number of unique PatIDs with at least one normal "HGB" result (per year) across Problem with number of unique PatIDs with at least one abnormal "HGB" result (per year) across Problem with number of unique PatIDs with at least one "HGBA1C" result (overall) Problem with number of unique PatIDs with at least one "HGBA1C" result (per year) Problem with number of unique PatIDs with at least one "HGBA1C" result (overall) across Problem with number of unique PatIDs with at least one "HGBA1C" result (per year) across Problem with number of unique PatIDs with at least one normal "HGBA1C" result (per year) Mini-Sentinel Common Data Model - 46 - Data Quality Review Process and Programs

LAB3.1.106 LAB3.1.107 LAB3.1.108 LAB3.1.109 LAB3.1.110 LAB3.1.111 LAB3.1.112 LAB3.1.113 LAB3.1.114 LAB3.1.115 LAB3.1.116 LAB3.1.117 LAB3.1.118 LAB3.1.119 LAB3.1.120 LAB3.1.121 LAB3.1.122 LAB3.1.123 LAB3.1.124 LAB3.1.125 LAB3.1.126 LAB3.1.127 LAB3.1.128 Problem with number of unique PatIDs with at least one abnormal "HGBA1C" result (per year) Problem with number of unique PatIDs with at least one normal "HGBA1C" result (per year) across Problem with number of unique PatIDs with at least one abnormal "HGBA1C" result (per year) across Problem with number of unique PatIDs with at least one "INF_A" result (overall) Problem with number of unique PatIDs with at least one "INF_A" result (per year) Problem with number of unique PatIDs with at least one "INF_A" result (overall) across Problem with number of unique PatIDs with at least one "INF_A" result (per year) across Problem with number of unique PatIDs with at least one normal "INF_A" result (per year) Problem with number of unique PatIDs with at least one abnormal "INF_A" result (per year) Problem with number of unique PatIDs with at least one normal "INF_A" result (per year) across Problem with number of unique PatIDs with at least one abnormal "INF_A" result (per year) across Problem with number of unique PatIDs with at least one "INF_AB" result (overall) Problem with number of unique PatIDs with at least one "INF_AB" result (per year) Problem with number of unique PatIDs with at least one "INF_AB" result (overall) across Problem with number of unique PatIDs with at least one "INF_AB" result (per year) across Problem with number of unique PatIDs with at least one normal "INF_AB" result (per year) Problem with number of unique PatIDs with at least one abnormal "INF_AB" result (per year) Problem with number of unique PatIDs with at least one normal "INF_AB" result (per year) across Problem with number of unique PatIDs with at least one abnormal "INF_AB" result (per year) across Problem with number of unique PatIDs with at least one "INF_B" result (overall) Problem with number of unique PatIDs with at least one "INF_B" result (per year) Problem with number of unique PatIDs with at least one "INF_B" result (overall) across Problem with number of unique PatIDs with at least one "INF_B" result (per year) across Mini-Sentinel Common Data Model - 47 - Data Quality Review Process and Programs

LAB3.1.129 LAB3.1.130 LAB3.1.131 LAB3.1.132 LAB3.1.133 LAB3.1.134 LAB3.1.135 LAB3.1.136 LAB3.1.137 LAB3.1.138 LAB3.1.139 LAB3.1.140 LAB3.1.141 LAB3.1.142 LAB3.1.143 LAB3.1.144 LAB3.1.145 LAB3.1.146 LAB3.1.147 LAB3.1.148 LAB3.1.149 LAB3.1.150 LAB3.1.151 Problem with number of unique PatIDs with at least one normal "INF_B" result (per year) Problem with number of unique PatIDs with at least one abnormal "INF_B" result (per year) Problem with number of unique PatIDs with at least one normal "INF_B" result (per year) across Problem with number of unique PatIDs with at least one abnormal "INF_B" result (per year) across Problem with number of unique PatIDs with at least one "INF_NS" result (overall) Problem with number of unique PatIDs with at least one "INF_NS" result (per year) Problem with number of unique PatIDs with at least one "INF_NS" result (overall) across Problem with number of unique PatIDs with at least one "INF_NS" result (per year) across Problem with number of unique PatIDs with at least one normal "INF_NS" result (per year) Problem with number of unique PatIDs with at least one abnormal "INF_NS" result (per year) Problem with number of unique PatIDs with at least one normal "INF_NS" result (per year) across Problem with number of unique PatIDs with at least one abnormal "INF_NS" result (per year) across Problem with number of unique PatIDs with at least one "INR" result (overall) Problem with number of unique PatIDs with at least one "INR" result (per year) Problem with number of unique PatIDs with at least one "INR" result (overall) across Problem with number of unique PatIDs with at least one "INR" result (per year) across Problem with number of unique PatIDs with at least one normal "INR" result (per year) Problem with number of unique PatIDs with at least one abnormal "INR" result (per year) Problem with number of unique PatIDs with at least one normal "INR" result (per year) across Problem with number of unique PatIDs with at least one abnormal "INR" result (per year) across Problem with number of unique PatIDs with at least one "LIPASE" result (overall) Problem with number of unique PatIDs with at least one "LIPASE" result (per year) Problem with number of unique PatIDs with at least one "LIPASE" result (overall) across Mini-Sentinel Common Data Model - 48 - Data Quality Review Process and Programs

LAB3.1.152 LAB3.1.153 LAB3.1.154 LAB3.1.155 LAB3.1.156 LAB3.1.157 LAB3.1.158 LAB3.1.159 LAB3.1.160 LAB3.1.161 LAB3.1.162 LAB3.1.163 LAB3.1.164 LAB3.1.165 LAB3.1.166 LAB3.1.167 LAB3.1.168 LAB3.1.169 LAB3.1.170 LAB3.1.171 LAB3.1.172 LAB3.1.173 LAB3.1.174 Problem with number of unique PatIDs with at least one "LIPASE" result (per year) across Problem with number of unique PatIDs with at least one normal "LIPASE" result (per year) Problem with number of unique PatIDs with at least one abnormal "LIPASE" result (per year) Problem with number of unique PatIDs with at least one normal "LIPASE" result (per year) across Problem with number of unique PatIDs with at least one abnormal "LIPASE" result (per year) across Problem with number of unique PatIDs with at least one "PG_QL" result (overall) Problem with number of unique PatIDs with at least one "PG_QL" result (per year) Problem with number of unique PatIDs with at least one "PG_QL" result (overall) across Problem with number of unique PatIDs with at least one "PG_QL" result (per year) across Problem with number of unique PatIDs with at least one normal "PG_QL" result (per year) Problem with number of unique PatIDs with at least one abnormal "PG_QL" result (per year) Problem with number of unique PatIDs with at least one normal "PG_QL" result (per year) across Problem with number of unique PatIDs with at least one abnormal "PG_QL" result (per year) across Problem with number of unique PatIDs with at least one "PG_QN" result (overall) Problem with number of unique PatIDs with at least one "PG_QN" result (per year) Problem with number of unique PatIDs with at least one "PG_QN" result (overall) across Problem with number of unique PatIDs with at least one "PG_QN" result (per year) across Problem with number of unique PatIDs with at least one normal "PG_QN" result (per year) Problem with number of unique PatIDs with at least one abnormal "PG_QN" result (per year) Problem with number of unique PatIDs with at least one normal "PG_QN" result (per year) across Problem with number of unique PatIDs with at least one abnormal "PG_QN" result (per year) across Problem with number of unique PatIDs with at least one "PLATELETS" result (overall) Problem with number of unique PatIDs with at least one "PLATELETS" result (per year) Mini-Sentinel Common Data Model - 49 - Data Quality Review Process and Programs

LAB3.1.175 LAB3.1.176 LAB3.1.177 LAB3.1.178 LAB3.1.179 LAB3.1.180 LAB3.1.181 LAB3.1.182 LAB3.1.183 LAB3.1.184 LAB3.1.185 LAB3.1.186 LAB3.1.187 LAB3.1.188 LAB3.1.189 LAB3.1.190 LAB3.1.191 LAB3.1.192 LAB3.1.193 LAB3.1.194 LAB3.1.195 LAB3.1.196 LAB3.1.197 Problem with number of unique PatIDs with at least one "PLATELETS" result (overall) across Problem with number of unique PatIDs with at least one "PLATELETS" result (per year) across Problem with number of unique PatIDs with at least one normal "PLATELETS" result (per year) Problem with number of unique PatIDs with at least one abnormal "PLATELETS" result (per year) Problem with number of unique PatIDs with at least one normal "PLATELETS" result (per year) across Problem with number of unique PatIDs with at least one abnormal "PLATELETS" result (per year) across Problem with number of unique PatIDs with at least one "TROP_I" result (overall) Problem with number of unique PatIDs with at least one "TROP_I" result (per year) Problem with number of unique PatIDs with at least one "TROP_I" result (overall) across Problem with number of unique PatIDs with at least one "TROP_I" result (per year) across Problem with number of unique PatIDs with at least one normal "TROP_I" result (per year) Problem with number of unique PatIDs with at least one abnormal "TROP_I" result (per year) Problem with number of unique PatIDs with at least one normal "TROP_I" result (per year) across Problem with number of unique PatIDs with at least one abnormal "TROP_I" result (per year) across Problem with number of unique PatIDs with at least one "TROP_T_QL" result (overall) Problem with number of unique PatIDs with at least one "TROP_T_QL" result (per year) Problem with number of unique PatIDs with at least one "TROP_T_QL" result (overall) across Problem with number of unique PatIDs with at least one "TROP_T_QL" result (per year) across Problem with number of unique PatIDs with at least one normal "TROP_T_QL" result (per year) Problem with number of unique PatIDs with at least one abnormal "TROP_T_QL" result (per year) Problem with number of unique PatIDs with at least one normal "TROP_T_QL" result (per year) across Problem with number of unique PatIDs with at least one abnormal "TROP_T_QL" result (per year) across Problem with number of unique PatIDs with at least one "TROP_T_QN" result (overall) Mini-Sentinel Common Data Model - 50 - Data Quality Review Process and Programs

LAB3.1.198 LAB3.1.199 LAB3.1.200 LAB3.1.201 LAB3.1.202 LAB3.1.203 LAB3.1.204 LAB3.2.1 LAB3.2.2 LAB3.2.3 LAB3.2.4 LAB3.2.5 LAB3.2.6 LAB3.2.7 LAB3.2.8 LAB3.2.9 LAB3.2.10 LAB3.2.11 LAB3.2.12 LAB3.2.13 LAB3.2.14 LAB3.2.15 LAB3.2.16 LAB3.2.17 LAB3.2.18 LAB3.2.19 LAB3.2.20 Problem with number of unique PatIDs with at least one "TROP_T_QN" result (per year) Problem with number of unique PatIDs with at least one "TROP_T_QN" result (overall) across Problem with number of unique PatIDs with at least one "TROP_T_QN" result (per year) across Problem with number of unique PatIDs with at least one normal "TROP_T_QN" result (per year) Problem with number of unique PatIDs with at least one abnormal "TROP_T_QN" result (per year) Problem with number of unique PatIDs with at least one normal "TROP_T_QN" result (per year) across Problem with number of unique PatIDs with at least one abnormal "TROP_T_QN" result (per year) across Problem with number of "ALP" results (overall) Problem with number of "ALP" results (per year) Problem with number of "ALP" results (per patient location) Problem with number of "ALP" results (per year per patient location) within the Problem with number of "ALP" results (overall) across Problem with number of "ALP" results (per year) across Problem with number of "ALP" results (per patient location) across Problem with number of "ALP" results (per year per patient location) across Problem with number of "ALT" results (overall) Problem with number of "ALT" results (per year) Problem with number of "ALT" results (per patient location) Problem with number of "ALT" results (per year per patient location) within the Problem with number of "ALT" results (overall) across Problem with number of "ALT" results (per year) across Problem with number of "ALT" results (per patient location) across Problem with number of "ALT" results (per year per patient location) across Problem with number of "ANC" results (overall) Problem with number of "ANC" results (per year) Problem with number of "ANC" results (per patient location) Problem with number of "ANC" results (per year per patient location) within the Mini-Sentinel Common Data Model - 51 - Data Quality Review Process and Programs

LAB3.2.21 LAB3.2.22 LAB3.2.23 LAB3.2.24 LAB3.2.25 LAB3.2.26 LAB3.2.27 LAB3.2.28 LAB3.2.29 LAB3.2.30 LAB3.2.31 LAB3.2.32 LAB3.2.33 LAB3.2.34 LAB3.2.35 LAB3.2.36 LAB3.2.37 LAB3.2.38 LAB3.2.39 LAB3.2.40 LAB3.2.41 LAB3.2.42 LAB3.2.43 LAB3.2.44 LAB3.2.45 LAB3.2.46 LAB3.2.47 LAB3.2.48 LAB3.2.49 LAB3.2.50 Problem with number of "ANC" results (overall) across Problem with number of "ANC" results (per year) across Problem with number of "ANC" results (per patient location) across Problem with number of "ANC" results (per year per patient location) across Problem with number of "BILI_TOT" results (overall) Problem with number of "BILI_TOT" results (per year) Problem with number of "BILI_TOT" results (per patient location) within the Problem with number of "BILI_TOT" results (per year per patient location) Problem with number of "BILI_TOT" results (overall) across Problem with number of "BILI_TOT" results (per year) across Problem with number of "BILI_TOT" results (per patient location) across Problem with number of "BILI_TOT" results (per year per patient location) across Problem with number of "CK" results (overall) Problem with number of "CK" results (per year) Problem with number of "CK" results (per patient location) Problem with number of "CK" results (per year per patient location) within the Problem with number of "CK" results (overall) across Problem with number of "CK" results (per year) across Problem with number of "CK" results (per patient location) across Problem with number of "CK" results (per year per patient location) across Problem with number of "CK_MB" results (overall) Problem with number of "CK_MB" results (per year) Problem with number of "CK_MB" results (per patient location) within the Problem with number of "CK_MB" results (per year per patient location) Problem with number of "CK_MB" results (overall) across Problem with number of "CK_MB" results (per year) across Problem with number of "CK_MB" results (per patient location) across Problem with number of "CK_MB" results (per year per patient location) across Problem with number of "CK_MBI" results (overall) Problem with number of "CK_MBI" results (per year) Mini-Sentinel Common Data Model - 52 - Data Quality Review Process and Programs

LAB3.2.51 LAB3.2.52 LAB3.2.53 LAB3.2.54 LAB3.2.55 LAB3.2.56 LAB3.2.57 LAB3.2.58 LAB3.2.59 LAB3.2.60 LAB3.2.61 LAB3.2.62 LAB3.2.63 LAB3.2.64 LAB3.2.65 LAB3.2.66 LAB3.2.67 LAB3.2.68 LAB3.2.69 LAB3.2.70 LAB3.2.71 LAB3.2.72 LAB3.2.73 LAB3.2.74 LAB3.2.75 LAB3.2.76 LAB3.2.77 Problem with number of "CK_MBI" results (per patient location) within the Problem with number of "CK_MBI" results (per year per patient location) Problem with number of "CK_MBI" results (overall) across Problem with number of "CK_MBI" results (per year) across Problem with number of "CK_MBI" results (per patient location) across Problem with number of "CK_MBI" results (per year per patient location) across Problem with number of "CREATININE" results (overall) Problem with number of "CREATININE" results (per year) Problem with number of "CREATININE" results (per patient location) within the Problem with number of "CREATININE" results (per year per patient location) Problem with number of "CREATININE" results (overall) across Problem with number of "CREATININE" results (per year) across Problem with number of "CREATININE" results (per patient location) across Problem with number of "CREATININE" results (per year per patient location) across Problem with number of "D_DIMER_QL" results (overall) Problem with number of "D_DIMER_QL" results (per year) Problem with number of "D_DIMER_QL" results (per patient location) within the Problem with number of "D_DIMER_QL" results (per year per patient location) Problem with number of "D_DIMER_QL" results (overall) across Problem with number of "D_DIMER_QL" results (per year) across Problem with number of "D_DIMER_QL" results (per patient location) across Problem with number of "D_DIMER_QL" results (per year per patient location) across Problem with number of "D_DIMER_QN" results (overall) Problem with number of "D_DIMER_QN" results (per year) Problem with number of "D_DIMER_QN" results (per patient location) within the Problem with number of "D_DIMER_QN" results (per year per patient location) Problem with number of "D_DIMER_QN" results (overall) across Mini-Sentinel Common Data Model - 53 - Data Quality Review Process and Programs

LAB3.2.78 LAB3.2.79 LAB3.2.80 LAB3.2.81 LAB3.2.82 LAB3.2.83 LAB3.2.84 LAB3.2.85 LAB3.2.86 LAB3.2.87 LAB3.2.88 LAB3.2.89 LAB3.2.90 LAB3.2.91 LAB3.2.92 LAB3.2.93 LAB3.2.94 LAB3.2.95 LAB3.2.96 LAB3.2.97 LAB3.2.98 LAB3.2.99 LAB3.2.100 LAB3.2.101 LAB3.2.102 LAB3.2.103 LAB3.2.104 LAB3.2.105 LAB3.2.106 Problem with number of "D_DIMER_QN" results (per year) across Problem with number of "D_DIMER_QN" results (per patient location) across Problem with number of "D_DIMER_QN" results (per year per patient location) across Problem with number of "GLUCOSE" results (overall) Problem with number of "GLUCOSE" results (per year) Problem with number of "GLUCOSE" results (per patient location) within the Problem with number of "GLUCOSE" results (per year per patient location) Problem with number of "GLUCOSE" results (overall) across Problem with number of "GLUCOSE" results (per year) across Problem with number of "GLUCOSE" results (per patient location) across Problem with number of "GLUCOSE" results (per year per patient location) across Problem with number of "HGB" results (overall) Problem with number of "HGB" results (per year) Problem with number of "HGB" results (per patient location) Problem with number of "HGB" results (per year per patient location) within the Problem with number of "HGB" results (overall) across Problem with number of "HGB" results (per year) across Problem with number of "HGB" results (per patient location) across Problem with number of "HGB" results (per year per patient location) across Problem with number of "HGBA1C" results (overall) Problem with number of "HGBA1C" results (per year) Problem with number of "HGBA1C" results (per patient location) within the Problem with number of "HGBA1C" results (per year per patient location) Problem with number of "HGBA1C" results (overall) across Problem with number of "HGBA1C" results (per year) across Problem with number of "HGBA1C" results (per patient location) across Problem with number of "HGBA1C" results (per year per patient location) across Problem with number of "INF_A" results (overall) Problem with number of "INF_A" results (per year) Mini-Sentinel Common Data Model - 54 - Data Quality Review Process and Programs

LAB3.2.107 LAB3.2.108 LAB3.2.109 LAB3.2.110 LAB3.2.111 LAB3.2.112 LAB3.2.113 LAB3.2.114 LAB3.2.115 LAB3.2.116 LAB3.2.117 LAB3.2.118 LAB3.2.119 LAB3.2.120 LAB3.2.121 LAB3.2.122 LAB3.2.123 LAB3.2.124 LAB3.2.125 LAB3.2.126 LAB3.2.127 LAB3.2.128 LAB3.2.129 LAB3.2.130 LAB3.2.131 LAB3.2.132 LAB3.2.133 LAB3.2.134 LAB3.2.135 Problem with number of "INF_A" results (per patient location) Problem with number of "INF_A" results (per year per patient location) Problem with number of "INF_A" results (overall) across Problem with number of "INF_A" results (per year) across Problem with number of "INF_A" results (per patient location) across Problem with number of "INF_A" results (per year per patient location) across Problem with number of "INF_AB" results (overall) Problem with number of "INF_AB" results (per year) Problem with number of "INF_AB" results (per patient location) within the Problem with number of "INF_AB" results (per year per patient location) Problem with number of "INF_AB" results (overall) across Problem with number of "INF_AB" results (per year) across Problem with number of "INF_AB" results (per patient location) across Problem with number of "INF_AB" results (per year per patient location) across Problem with number of "INF_B" results (overall) Problem with number of "INF_B" results (per year) Problem with number of "INF_B" results (per patient location) Problem with number of "INF_B" results (per year per patient location) Problem with number of "INF_B" results (overall) across Problem with number of "INF_B" results (per year) across Problem with number of "INF_B" results (per patient location) across Problem with number of "INF_B" results (per year per patient location) across Problem with number of "INF_NS" results (overall) Problem with number of "INF_NS" results (per year) Problem with number of "INF_NS" results (per patient location) within the Problem with number of "INF_NS" results (per year per patient location) Problem with number of "INF_NS" results (overall) across Problem with number of "INF_NS" results (per year) across Problem with number of "INF_NS" results (per patient location) across Mini-Sentinel Common Data Model - 55 - Data Quality Review Process and Programs

LAB3.2.136 LAB3.2.137 LAB3.2.138 LAB3.2.139 LAB3.2.140 LAB3.2.141 LAB3.2.142 LAB3.2.143 LAB3.2.144 LAB3.2.145 LAB3.2.146 LAB3.2.147 LAB3.2.148 LAB3.2.149 LAB3.2.150 LAB3.2.151 LAB3.2.152 LAB3.2.153 LAB3.2.154 LAB3.2.155 LAB3.2.156 LAB3.2.157 LAB3.2.158 LAB3.2.159 LAB3.2.160 LAB3.2.161 LAB3.2.162 LAB3.2.163 LAB3.2.164 Problem with number of "INF_NS" results (per year per patient location) across Problem with number of "INR" results (overall) Problem with number of "INR" results (per year) Problem with number of "INR" results (per patient location) Problem with number of "INR" results (per year per patient location) within the Problem with number of "INR" results (overall) across Problem with number of "INR" results (per year) across Problem with number of "INR" results (per patient location) across Problem with number of "INR" results (per year per patient location) across Problem with number of "LIPASE" results (overall) Problem with number of "LIPASE" results (per year) Problem with number of "LIPASE" results (per patient location) within the Problem with number of "LIPASE" results (per year per patient location) Problem with number of "LIPASE" results (overall) across Problem with number of "LIPASE" results (per year) across Problem with number of "LIPASE" results (per patient location) across Problem with number of "LIPASE" results (per year per patient location) across Problem with number of "PG_QL" results (overall) Problem with number of "PG_QL" results (per year) Problem with number of "PG_QL" results (per patient location) within the Problem with number of "PG_QL" results (per year per patient location) Problem with number of "PG_QL" results (overall) across Problem with number of "PG_QL" results (per year) across Problem with number of "PG_QL" results (per patient location) across Problem with number of "PG_QL" results (per year per patient location) across Problem with number of "PG_QN" results (overall) Problem with number of "PG_QN" results (per year) Problem with number of "PG_QN" results (per patient location) within the Problem with number of "PG_QN" results (per year per patient location) Mini-Sentinel Common Data Model - 56 - Data Quality Review Process and Programs

LAB3.2.165 LAB3.2.166 LAB3.2.167 LAB3.2.168 LAB3.2.169 LAB3.2.170 LAB3.2.171 LAB3.2.172 LAB3.2.173 LAB3.2.174 LAB3.2.175 LAB3.2.176 LAB3.2.177 LAB3.2.178 LAB3.2.179 LAB3.2.180 LAB3.2.181 LAB3.2.182 LAB3.2.183 LAB3.2.184 LAB3.2.185 LAB3.2.186 LAB3.2.187 LAB3.2.188 LAB3.2.189 LAB3.2.190 LAB3.2.191 LAB3.2.192 LAB3.2.193 Problem with number of "PG_QN" results (overall) across Problem with number of "PG_QN" results (per year) across Problem with number of "PG_QN" results (per patient location) across Problem with number of "PG_QN" results (per year per patient location) across Problem with number of "PLATELETS" results (overall) Problem with number of "PLATELETS" results (per year) Problem with number of "PLATELETS" results (per patient location) within the Problem with number of "PLATELETS" results (per year per patient location) Problem with number of "PLATELETS" results (overall) across Problem with number of "PLATELETS" results (per year) across Problem with number of "PLATELETS" results (per patient location) across Problem with number of "PLATELETS" results (per year per patient location) across Problem with number of "TROP_I" results (overall) Problem with number of "TROP_I" results (per year) Problem with number of "TROP_I" results (per patient location) within the Problem with number of "TROP_I" results (per year per patient location) Problem with number of "TROP_I" results (overall) across Problem with number of "TROP_I" results (per year) across Problem with number of "TROP_I" results (per patient location) across Problem with number of "TROP_I" results (per year per patient location) across Problem with number of "TROP_T_QL" results (overall) Problem with number of "TROP_T_QL" results (per year) Problem with number of "TROP_T_QL" results (per patient location) within the Problem with number of "TROP_T_QL" results (per year per patient location) Problem with number of "TROP_T_QL" results (overall) across Problem with number of "TROP_T_QL" results (per year) across Problem with number of "TROP_T_QL" results (per patient location) across Problem with number of "TROP_T_QL" results (per year per patient location) across Problem with number of "TROP_T_QN" results (overall) Mini-Sentinel Common Data Model - 57 - Data Quality Review Process and Programs

LAB3.2.194 LAB3.2.195 LAB3.2.196 LAB3.2.197 LAB3.2.198 LAB3.2.199 LAB3.2.200 LAB3.7.1 LAB3.7.2 LAB3.7.3 LAB3.7.4 LAB3.8.1 LAB3.8.2 LAB3.8.3 LAB3.8.4 LAB3.9.1 LAB3.9.2 LAB3.9.3 LAB3.9.4 LAB3.12.1 LAB3.12.2 LAB3.13.1 LAB3.13.2 LAB3.13.3 LAB3.13.4 Problem with number of "TROP_T_QN" results (per year) Problem with number of "TROP_T_QN" results (per patient location) within the Problem with number of "TROP_T_QN" results (per year per patient location) Problem with number of "TROP_T_QN" results (overall) across Problem with number of "TROP_T_QN" results (per year) across Problem with number of "TROP_T_QN" results (per patient location) across Problem with number of "TROP_T_QN" results (per year per patient location) across Problem with distribution of Stat values (overall) Problem with distribution of Stat values (per year) Problem with distribution of Stat values (overall) across Problem with distribution of Stat values (per year) across Problem with distribution of Pt_Loc values (overall) Problem with distribution of Pt_Loc values (per year) Problem with distribution of Pt_Loc values (overall) across Problem with distribution of Pt_Loc values (per year) across Problem with distribution of Result_Loc values (overall) Problem with distribution of Result_Loc values (per year) Problem with distribution of Result_Loc values (overall) across Problem with distribution of Result_Loc values (per year) across Problem with distribution of PX values PX values are not consistent with PX_Codetype values Problem with distribution of PX_Codetype values (overall) Problem with distribution of PX_Codetype values (per year) Problem with distribution of PX_Codetype values (overall) across Problem with distribution of PX_Codetype values (per year) across LAB3.14.1 Problem with distribution of Order_dt (overall) LAB3.14.2 Problem with distribution of Order_dt (per year) LAB3.14.3 Problem with distribution of Order_dt (overall) across LAB3.14.4 Problem with distribution of Order_dt (per year) across LAB3.14.5 Order_dt, Lab_dt, and Result_dt all have values before 1/1/2006 LAB3.15.1 Problem with distribution of Lab_dt (overall) LAB3.15.2 Problem with distribution of Lab_dt (per year) LAB3.15.3 Problem with distribution of Lab_dt (overall) across Mini-Sentinel Common Data Model - 58 - Data Quality Review Process and Programs

LAB3.15.4 LAB3.17.1 LAB3.17.2 LAB3.17.3 LAB3.17.4 LAB3.19.1 LAB3.19.2 LAB3.19.3 LAB3.19.4 LAB3.19.5 LAB3.19.6 LAB3.19.7 LAB3.19.8 LAB3.19.9 LAB3.19.10 LAB3.19.11 LAB3.19.12 LAB3.19.13 LAB3.19.14 LAB3.19.15 LAB3.19.16 LAB3.19.17 LAB3.19.18 LAB3.19.19 LAB3.19.20 Problem with distribution of Lab_dt (per year) across Problem with distribution of Result_dt (overall) Problem with distribution of Result_dt (per year) Problem with distribution of Result_dt (overall) across Problem with distribution of Result_dt (per year) across Problem with distribution of Orig_Result values (overall) Problem with distribution of Orig_Result values (overall) across Problem with distribution of Orig_Result values for "ALP" results within the Problem with distribution of Orig_Result values for "ALP" results across Problem with distribution of Orig_Result values for "ALT" results within the Problem with distribution of Orig_Result values for "ALT" results across Problem with distribution of Orig_Result values for "ANC" results within the Problem with distribution of Orig_Result values for "ANC" results across Problem with distribution of Orig_Result values for "BILI_TOT" results within the Problem with distribution of Orig_Result values for "BILI_TOT" results across Problem with distribution of Orig_Result values for "CK" results within the Problem with distribution of Orig_Result values for "CK" results across Problem with distribution of Orig_Result values for "CK_MB" results within the Problem with distribution of Orig_Result values for "CK_MB" results across Problem with distribution of Orig_Result values for "CK_MBI" results within the Problem with distribution of Orig_Result values for "CK_MBI" results across Problem with distribution of Orig_Result values for "CREATININE" results Problem with distribution of Orig_Result values for "CREATININE" results across Problem with distribution of Orig_Result values for "D_DIMER_QL" results Problem with distribution of Orig_Result values for "D_DIMER_QL" results across Mini-Sentinel Common Data Model - 59 - Data Quality Review Process and Programs

LAB3.19.21 LAB3.19.22 LAB3.19.23 LAB3.19.24 LAB3.19.25 LAB3.19.26 LAB3.19.27 LAB3.19.28 LAB3.19.29 LAB3.19.30 LAB3.19.31 LAB3.19.32 LAB3.19.33 LAB3.19.34 LAB3.19.35 LAB3.19.36 LAB3.19.37 LAB3.19.38 LAB3.19.39 LAB3.19.40 LAB3.19.41 LAB3.19.42 LAB3.19.43 Problem with distribution of Orig_Result values for "D_DIMER_QN" results Problem with distribution of Orig_Result values for "D_DIMER_QN" results across Problem with distribution of Orig_Result values for "GLUCOSE" results within the Problem with distribution of Orig_Result values for "GLUCOSE" results across Problem with distribution of Orig_Result values for "HGB" results within the Problem with distribution of Orig_Result values for "HGB" results across Problem with distribution of Orig_Result values for "HGBA1C" results within the Problem with distribution of Orig_Result values for "HGBA1C" results across Problem with distribution of Orig_Result values for "INF_A" results within the Problem with distribution of Orig_Result values for "INF_A" results across Problem with distribution of Orig_Result values for "INF_AB" results within the Problem with distribution of Orig_Result values for "INF_AB" results across Problem with distribution of Orig_Result values for "INF_B" results within the Problem with distribution of Orig_Result values for "INF_B" results across Problem with distribution of Orig_Result values for "INF_NS" results within the Problem with distribution of Orig_Result values for "INF_NS" results across Problem with distribution of Orig_Result values for "INR" results within the Problem with distribution of Orig_Result values for "INR" results across Problem with distribution of Orig_Result values for "LIPASE" results within the Problem with distribution of Orig_Result values for "LIPASE" results across Problem with distribution of Orig_Result values for "PG_QL" results within the Problem with distribution of Orig_Result values for "PG_QL" results across Problem with distribution of Orig_Result values for "PG_QN" results within the Mini-Sentinel Common Data Model - 60 - Data Quality Review Process and Programs

LAB3.19.44 LAB3.19.45 LAB3.19.46 LAB3.19.47 LAB3.19.48 LAB3.19.49 LAB3.19.50 LAB3.19.51 LAB3.19.52 LAB3.21.1 LAB3.21.2 LAB3.21.3 LAB3.21.4 LAB3.21.5 LAB3.21.6 LAB3.21.7 LAB3.21.8 LAB3.21.9 LAB3.21.10 LAB3.21.11 LAB3.21.12 LAB3.21.13 LAB3.21.14 Problem with distribution of Orig_Result values for "PG_QN" results across Problem with distribution of Orig_Result values for "PLATELETS" results Problem with distribution of Orig_Result values for "PLATELETS" results across Problem with distribution of Orig_Result values for "TROP_I" results within the Problem with distribution of Orig_Result values for "TROP_I" results across Problem with distribution of Orig_Result values for "TROP_T_QL" results Problem with distribution of Orig_Result values for "TROP_T_QL" results across Problem with distribution of Orig_Result values for "TROP_T_QN" results Problem with distribution of Orig_Result values for "TROP_T_QN" results across Problem with distribution of MS_Result_N values for "ALP" results within the Problem with distribution of MS_Result_N values for "ALP" results across Problem with distribution of MS_Result_N values for "ALT" results within the Problem with distribution of MS_Result_N values for "ALT" results across Problem with distribution of MS_Result_N values for "ANC" results within the Problem with distribution of MS_Result_N values for "ANC" results across Problem with distribution of MS_Result_N values for "BILI_TOT" results Problem with distribution of MS_Result_N values for "BILI_TOT" results across Problem with distribution of MS_Result_N values for "CK" results within the Problem with distribution of MS_Result_N values for "CK" results across Problem with distribution of MS_Result_N values for "CK_MB" results within the Problem with distribution of MS_Result_N values for "CK_MB" results across Problem with distribution of MS_Result_N values for "CK_MBI" results within the Problem with distribution of MS_Result_N values for "CK_MBI" results across Mini-Sentinel Common Data Model - 61 - Data Quality Review Process and Programs

LAB3.21.15 LAB3.21.16 LAB3.21.17 LAB3.21.18 LAB3.21.19 LAB3.21.20 LAB3.21.21 LAB3.21.22 LAB3.21.23 LAB3.21.24 LAB3.21.25 LAB3.21.26 LAB3.21.27 LAB3.21.28 LAB3.21.29 LAB3.21.30 LAB3.21.31 LAB3.21.32 LAB3.21.33 LAB3.21.34 LAB3.21.35 LAB3.21.36 LAB3.30.1 LAB3.30.2 Problem with distribution of MS_Result_N values for "CREATININE" results Problem with distribution of MS_Result_N values for "CREATININE" results across Problem with distribution of MS_Result_N values for "D_DIMER_QN" results Problem with distribution of MS_Result_N values for "D_DIMER_QN" results across Problem with distribution of MS_Result_N values for "GLUCOSE" results Problem with distribution of MS_Result_N values for "GLUCOSE" results across Problem with distribution of MS_Result_N values for "HGB" results within the Problem with distribution of MS_Result_N values for "HGB" results across Problem with distribution of MS_Result_N values for "HGBA1C" results Problem with distribution of MS_Result_N values for "HGBA1C" results across Problem with distribution of MS_Result_N values for "INR" results within the Problem with distribution of MS_Result_N values for "INR" results across Problem with distribution of MS_Result_N values for "LIPASE" results within the Problem with distribution of MS_Result_N values for "LIPASE" results across Problem with distribution of MS_Result_N values for "PG_QN" results within the Problem with distribution of MS_Result_N values for "PG_QN" results across Problem with distribution of MS_Result_N values for "PLATELETS" results Problem with distribution of MS_Result_N values for "PLATELETS" results across Problem with distribution of MS_Result_N values for "TROP_I" results within the Problem with distribution of MS_Result_N values for "TROP_I" results across Problem with distribution of MS_Result_N values for "TROP_T_QN" results Problem with distribution of MS_Result_N values for "TROP_T_QN" results across Problem with distribution of Abn_ind values (overall) Problem with distribution of Abn_ind values (overall) across Mini-Sentinel Common Data Model - 62 - Data Quality Review Process and Programs

LAB3.30.3 LAB3.30.4 LAB3.30.5 LAB3.30.6 LAB3.30.7 LAB3.30.8 LAB3.30.9 LAB3.30.10 LAB3.30.11 LAB3.30.12 LAB3.30.13 LAB3.30.14 LAB3.30.15 LAB3.30.16 LAB3.30.17 LAB3.30.18 LAB3.30.19 LAB3.30.20 LAB3.30.21 LAB3.30.22 LAB3.30.23 LAB3.30.24 LAB3.30.25 Problem with distribution of Abn_ind values for "ALP" results Problem with distribution of Abn_ind values for "ALP" results across Problem with distribution of Abn_ind values for "ALT" results Problem with distribution of Abn_ind values for "ALT" results across Problem with distribution of Abn_ind values for "ANC" results Problem with distribution of Abn_ind values for "ANC" results across Problem with distribution of Abn_ind values for "BILI_TOT" results within the Problem with distribution of Abn_ind values for "BILI_TOT" results across Problem with distribution of Abn_ind values for "CK" results Problem with distribution of Abn_ind values for "CK" results across Problem with distribution of Abn_ind values for "CK_MB" results within the Problem with distribution of Abn_ind values for "CK_MB" results across Problem with distribution of Abn_ind values for "CK_MBI" results within the Problem with distribution of Abn_ind values for "CK_MBI" results across Problem with distribution of Abn_ind values for "CREATININE" results within the Problem with distribution of Abn_ind values for "CREATININE" results across Problem with distribution of Abn_ind values for "D_DIMER_QL" results Problem with distribution of Abn_ind values for "D_DIMER_QL" results across Problem with distribution of Abn_ind values for "D_DIMER_QN" results Problem with distribution of Abn_ind values for "D_DIMER_QN" results across Problem with distribution of Abn_ind values for "GLUCOSE" results within the Problem with distribution of Abn_ind values for "GLUCOSE" results across Problem with distribution of Abn_ind values for "HGB" results Mini-Sentinel Common Data Model - 63 - Data Quality Review Process and Programs

LAB3.30.26 LAB3.30.27 LAB3.30.28 LAB3.30.29 LAB3.30.30 LAB3.30.31 LAB3.30.32 LAB3.30.33 LAB3.30.34 LAB3.30.35 LAB3.30.36 LAB3.30.37 LAB3.30.38 LAB3.30.39 LAB3.30.40 LAB3.30.41 LAB3.30.42 LAB3.30.43 LAB3.30.44 LAB3.30.45 LAB3.30.46 LAB3.30.47 LAB3.30.48 Problem with distribution of Abn_ind values for "HGB" results across Problem with distribution of Abn_ind values for "HGBA1C" results within the Problem with distribution of Abn_ind values for "HGBA1C" results across Problem with distribution of Abn_ind values for "INF_A" results within the Problem with distribution of Abn_ind values for "INF_A" results across Problem with distribution of Abn_ind values for "INF_AB" results within the Problem with distribution of Abn_ind values for "INF_AB" results across Problem with distribution of Abn_ind values for "INF_B" results within the Problem with distribution of Abn_ind values for "INF_B" results across Problem with distribution of Abn_ind values for "INF_NS" results within the Problem with distribution of Abn_ind values for "INF_NS" results across Problem with distribution of Abn_ind values for "INR" results Problem with distribution of Abn_ind values for "INR" results across Problem with distribution of Abn_ind values for "LIPASE" results within the Problem with distribution of Abn_ind values for "LIPASE" results across Problem with distribution of Abn_ind values for "PG_QL" results within the Problem with distribution of Abn_ind values for "PG_QL" results across Problem with distribution of Abn_ind values for "PG_QN" results within the Problem with distribution of Abn_ind values for "PG_QN" results across Problem with distribution of Abn_ind values for "PLATELETS" results within the Problem with distribution of Abn_ind values for "PLATELETS" results across Problem with distribution of Abn_ind values for "TROP_I" results within the Problem with distribution of Abn_ind values for "TROP_I" results across Mini-Sentinel Common Data Model - 64 - Data Quality Review Process and Programs

LAB3.30.49 LAB3.30.50 LAB3.30.51 LAB3.30.52 Problem with distribution of Abn_ind values for "TROP_T_QL" results within the Problem with distribution of Abn_ind values for "TROP_T_QL" results across Problem with distribution of Abn_ind values for "TROP_T_QN" results within the Problem with distribution of Abn_ind values for "TROP_T_QN" results across Mini-Sentinel Common Data Model - 65 - Data Quality Review Process and Programs

VII. APPENDIX B: LIST OF OUTPUT DATASETS MSCDM Table All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables All Core Tables Cause of Death Cause of Death Cause of Death Cause of Death Cause of Death Output Dataset all_l2_n_records_dupes.sas7bdat alltable_signature.sas7bdat dates_signature.sas7bdat dates_yyyymmdd.log etl_version.sas7bdat flags_l1_l2_.sas7bdat l1_idlength.sas7bdat l1_l2_signature.sas7bdat l1_l2_yyyymmdd.log l4_edip_admitfromed.sas7bdat l4_edip_iprevadmitsource.sas7bdat l4_edip_origedadmitsource.sas7bdat l4_edip_rates_total.sas7bdat l4_edip_rates_ym.sas7bdat l4_edip_revcodes.sas7bdat l4_hysterectomy_sex_total.sas7bdat l4_hysterectomy_sex_ym.sas7bdat l4_ovarian_ca_sex_total.sas7bdat l4_ovarian_ca_sex_ym.sas7bdat l4_pregnancy_sex_total.sas7bdat l4_pregnancy_sex_ym.sas7bdat l4_prostate_ca_sex_total.sas7bdat l4_prostate_ca_sex_ym.sas7bdat l4_signature.sas7bdat l4_yyyymmdd.log licensed.sas7bdat minmax_dates.sas7bdat module_execution_plan_yyyymmdd.log mscdm_data_qa_master_yyyymmdd.log mscdm_data_qa_master_yyyymmdd.lst cause_of_death_signature.sas7bdat cause_of_death_yyyymmdd.log cod_l1_cod.sas7bdat cod_l2_patidmatch.sas7bdat cod_l3_causet.sas7bdat Mini-Sentinel Common Data Model - 66 - Data Quality Review Process and Programs

MSCDM Table Cause of Death Cause of Death Cause of Death Cause of Death Cause of Death Cause of Death Cause of Death Death Death Death Death Death Death Death Death Death Death Death Death Death Demographic Demographic Demographic Demographic Demographic Demographic Demographic Demographic Demographic Demographic Demographic Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Output Dataset cod_l3_cod.sas7bdat cod_l3_codet.sas7bdat cod_l3_confidence.sas7bdat cod_l3_n_patid.sas7bdat cod_l3_source.sas7bdat flag_l1_l2_cod.sas7bdat l1_cont_cod.sas7bdat death_signature.sas7bdat death_yyyymmdd.log dispensing_yyyymmdd.log dth_cod_l2_patidmatch.sas7bdat dth_l2_patidmatch.sas7bdat dth_l3_confidence.sas7bdat dth_l3_dthdt_y.sas7bdat dth_l3_dthdt_ym.sas7bdat dth_l3_dtimpute.sas7bdat dth_l3_n_patid.sas7bdat dth_l3_source.sas7bdat flag_l1_l2_dth.sas7bdat l1_cont_dth.sas7bdat dem_l2_patidmatch.sas7bdat dem_l3_ageyrsdist1.sas7bdat dem_l3_ageyrsdist2.sas7bdat dem_l3_hispdist.sas7bdat dem_l3_n_patid.sas7bdat dem_l3_racedist.sas7bdat dem_l3_sexdist.sas7bdat demographic_signature.sas7bdat demographic_yyyymmdd.log flag_l1_l2_dem.sas7bdat l1_cont_dem.sas7bdat dia_l1_dx.sas7bdat dia_l2_patidmatch.sas7bdat dia_l3_adate_y.sas7bdat dia_l3_adate_ym.sas7bdat dia_l3_ct_enct.sas7bdat dia_l3_ct_y.sas7bdat dia_l3_dist_adate.sas7bdat dia_l3_dx.sas7bdat Mini-Sentinel Common Data Model - 67 - Data Quality Review Process and Programs

MSCDM Table Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Diagnosis Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Dispensing Output Dataset dia_l3_encdate_y.sas7bdat dia_l3_encdate_ym.sas7bdat dia_l3_n_encid.sas7bdat dia_l3_n_patid.sas7bdat dia_l3_n_provid.sas7bdat dia_l3_pdx.sas7bdat dia_l3_pdx_et.sas7bdat dia_l3_stats_dx_per_enc.sas7bdat diagnosis_signature.sas7bdat diagnosis_yyyymmdd.log flag_l1_l2_dia.sas7bdat l1_cont_dia.sas7bdat dis_l1_ndcs.sas7bdat dis_l2_patidmatch.sas7bdat dis_l3_dist_rxdate.sas7bdat dis_l3_n_patid.sas7bdat dis_l3_rxamt.sas7bdat dis_l3_rxdate_y.sas7bdat dis_l3_rxdate_ym.sas7bdat dis_l3_rxptyr.sas7bdat dis_l3_rxsup.sas7bdat dispensing_signature.sas7bdat flag_l1_l2_dis.sas7bdat l1_cont_dis.sas7bdat enc_dia_pro_l2_encidmatch.sas7bdat enc_l1_drg.sas7bdat enc_l2_drg_enctype.sas7bdat enc_l2_patidmatch.sas7bdat enc_l3_adate_y.sas7bdat enc_l3_adate_ym.sas7bdat enc_l3_admsrc.sas7bdat enc_l3_admsrc_enc.sas7bdat enc_l3_ddate_y.sas7bdat enc_l3_ddate_ym.sas7bdat enc_l3_disdisp.sas7bdat enc_l3_disdisp_enc.sas7bdat enc_l3_disstat.sas7bdat enc_l3_disstat_enc.sas7bdat enc_l3_dist_adate.sas7bdat Mini-Sentinel Common Data Model - 68 - Data Quality Review Process and Programs

MSCDM Table Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Output Dataset enc_l3_dist_ddate.sas7bdat enc_l3_drg_type.sas7bdat enc_l3_drg_type_enct.sas7bdat enc_l3_drg_type_y.sas7bdat enc_l3_encdate_y.sas7bdat enc_l3_encdate_ym.sas7bdat enc_l3_enctype_ddate_y.sas7bdat enc_l3_enctype_ddate_ym.sas7bdat enc_l3_enctype_los_nd.sas7bdat enc_l3_enctype_los_y.sas7bdat enc_l3_enctype_los_ym.sas7bdat enc_l3_facloc.sas7bdat enc_l3_n_encid.sas7bdat enc_l3_n_patid.sas7bdat enc_l3_n_provid.sas7bdat enc_l3_stats_enc_y.sas7bdat enc_l3_stats_enc_ym.sas7bdat enc_l3_stats_y.sas7bdat enc_l3_stats_ym.sas7bdat encounter_signature.sas7bdat encounter_yyyymmdd.log flag_l1_l2_enc.sas7bdat l1_cont_enc.sas7bdat enr_l3_dist_end.sas7bdat enr_l3_dist_enrmonth_d.sas7bdat enr_l3_dist_enrmonth_m.sas7bdat enr_l3_dist_enrmonth_md.sas7bdat enr_l3_dist_enryear_d.sas7bdat enr_l3_dist_enryear_m.sas7bdat enr_l3_dist_enryear_md.sas7bdat enr_l3_dist_start.sas7bdat enr_l3_drugcov.sas7bdat enr_l3_enrmd_y.sas7bdat enr_l3_enrmd_ym.sas7bdat enr_l3_medcov.sas7bdat enr_l3_meddrugcov.sas7bdat enr_l3_n_patid.sas7bdat enr_l3_overlap.sas7bdat enr_l3_stats_enrd.sas7bdat Mini-Sentinel Common Data Model - 69 - Data Quality Review Process and Programs

MSCDM Table Enrollment Enrollment Enrollment Enrollment Enrollment Enrollment Output Dataset enr_l3_stats_enrm.sas7bdat enr_l3_stats_enrmd.sas7bdat enrollment_signature.sas7bdat enrollment_yyyymmdd.log flag_l1_l2_enr.sas7bdat l1_cont_enr.sas7bdat flags_l1_l2_lab.sas7bdat l1_cont_lab.sas7bdat lab_l2_abn_ind.sas7bdat lab_l2_covmemb_at_least_1_test.sas7bdat lab_l2_enrmemb_at_least_1_test.sas7bdat lab_l2_memb_at_least_1_test.sas7bdat lab_l2_memb_test_outside_enr.sas7bdat lab_l2_modifier.sas7bdat lab_l2_modifier_high.sas7bdat lab_l2_modifier_low.sas7bdat lab_l2_ms_test_sub_category.sas7bdat lab_l2_orig_std_ms_res_unit.sas7bdat lab_l2_patidmatch.sas7bdat lab_l2_pattest.sas7bdat lab_l2_pt_loc.sas7bdat lab_l2_px_ct.sas7bdat lab_l2_result_loc.sas7bdat lab_l2_specimen_source.sas7bdat lab_l2_stat.sas7bdat lab_l2_stats_ms_res_unit.sas7bdat lab_l2_stats_orig_res_unit.sas7bdat lab_l2_test.sas7bdat lab_l2_test_all_dt.sas7bdat lab_l2_test_lab_dt.sas7bdat lab_l2_test_lab_tm.sas7bdat lab_l2_test_msresult_unit.sas7bdat lab_l2_test_order_dt.sas7bdat lab_l2_test_origresult_unit.sas7bdat lab_l2_test_ptloc.sas7bdat lab_l2_test_px_ct.sas7bdat lab_l2_test_range.sas7bdat lab_l2_test_result_dt.sas7bdat lab_l2_test_result_loc.sas7bdat Mini-Sentinel Common Data Model - 70 - Data Quality Review Process and Programs

MSCDM Table Output Dataset lab_l2_test_result_tm.sas7bdat lab_l2_test_rslttyp.sas7bdat lab_l2_test_rslttyp_abn.sas7bdat lab_l2_test_rslttyp_norm.sas7bdat lab_l2_test_rslttyp_norm_ptloc.sas7bdat lab_l2_test_rslttyp_ptloc.sas7bdat lab_l2_test_rslttyp_specimen.sas7bdat lab_l2_test_specimen_loinc.sas7bdat lab_l2_test_stat.sas7bdat lab_l2_test_stdresult_unit.sas7bdat lab_l3_abn_vs_abn_derived.sas7bdat lab_l3_comp_enroll_vs_lab.sas7bdat lab_l3_dates_pre2006_y.sas7bdat lab_l3_dist_lab_dt.sas7bdat lab_l3_dist_order_dt.sas7bdat lab_l3_dist_result_dt.sas7bdat lab_l3_memb_at_least_1_test_y.sas7bdat lab_l3_pattest_y.sas7bdat lab_l3_test_all_dt_y.sas7bdat lab_l3_test_lab_dt_y.sas7bdat lab_l3_test_lab_tm_y.sas7bdat lab_l3_test_msresult_unit_y.sas7bdat lab_l3_test_order_dt_y.sas7bdat lab_l3_test_origresult_unit_y.sas7bdat lab_l3_test_ptloc_y.sas7bdat lab_l3_test_px_ct_y.sas7bdat lab_l3_test_range_y.sas7bdat lab_l3_test_ratios_ym.sas7bdat lab_l3_test_result_dt_y.sas7bdat lab_l3_test_result_loc_y.sas7bdat lab_l3_test_result_tm_y.sas7bdat lab_l3_test_rslttyp_abn_stats.sas7bdat lab_l3_test_rslttyp_abn_u_stats.sas7bdat lab_l3_test_rslttyp_norm_ptloc_y.sas7bdat lab_l3_test_rslttyp_norm_y.sas7bdat lab_l3_test_rslttyp_ptloc_y.sas7bdat lab_l3_test_rslttyp_y.sas7bdat lab_l3_test_specimen_loinc_y.sas7bdat lab_l3_test_stat_y.sas7bdat Mini-Sentinel Common Data Model - 71 - Data Quality Review Process and Programs

MSCDM Table Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Procedure Output Dataset lab_l3_test_stdresult_unit_y.sas7bdat laboratory_result_yyyymmdd.log laboratory_result_signature.sas7bdat dpidsiteid_mscdm_data_qa_lab.pdf vars_check.sas7bdat vars_check_exist.sas7bdat vars_check_length.sas7bdat vars_check_type.sas7bdat flag_l1_l2_pro.sas7bdat l1_cont_pro.sas7bdat pro_l1_px.sas7bdat pro_l2_patidmatch.sas7bdat pro_l3_adate_y.sas7bdat pro_l3_adate_ym.sas7bdat pro_l3_ct_enct.sas7bdat pro_l3_ct_y.sas7bdat pro_l3_dist_adate.sas7bdat pro_l3_encdate_y.sas7bdat pro_l3_encdate_ym.sas7bdat pro_l3_n_encid.sas7bdat pro_l3_n_patid.sas7bdat pro_l3_n_provid.sas7bdat pro_l3_px.sas7bdat pro_l3_stats_px_per_enc.sas7bdat procedure_signature.sas7bdat procedure_yyyymmdd.log Mini-Sentinel Common Data Model - 72 - Data Quality Review Process and Programs