Implementing the CDISC standards into an existing CDMS
|
|
|
- Merryl Jackson
- 9 years ago
- Views:
Transcription
1 Implementing the CDISC standards into an existing CDMS Presented by Ueng-Cheng Yang Institute of Biomedical Informatics National Yang-Ming University 1
2 TCT is a resource center to support clinical trials for the National Research Program for Biopharmaceuticals (NRPB) 2
3 Clinical Data Management System Integrating data by using a global unique identifier Specimen Tracking & Management System Patient Clinical information Protocol Tracking and Management Protocol, System informed consent, etc. Survival % Analysis year Specimen High throughput data Protocol application information was collected by a protocol tracking and management system 3
4 Submit protocol to one center s system Application form Attached files Simplify the application of a multi-centered trial by using the same information system in 14 medical centers. Submit xml and zip files to another center s system Relevant parts of the submited protocol The trial summary (TS) data can be downloaded as xml files The downloaded xml file was not CDISC-compliant, so this file has to be converted into a CDSC-compliant xpt file. 4
5 Converting trial summary (TS) data according to SDTM standard 5
6 More than 80% of the 13 clinical trial consortia are using the same CDMS supported by TCT 6
7 System setup Set up access rights Randomization Study Design and generate forms Manage patients Collect data Study setup Screen patients Export & analyze data Resource center helps users to make the electronic clinical report forms (ecrfs) 7
8 ecrf used before adopting the CDISC standards The title of each question, the units, the range of normal values are simple text. The variable names are assigned based on user s codebook. 8
9 Making annotated CRF in an existing CDMS Using a finished phase I trial to test the workflow approach 9
10 Making annotated CRF by following the standard variable names and data types 10
11 Provide users a codebook for data query or analysis Even though a user is not familiar with the CDASH and SDTM standards. He can stilll make query or analyze data based on this codebook. 11
12 Using a finished phase I trial as an example to test the workflow approach 12
13 Click this button for detailed information Collected data will be validated based on rules after completing an ecrf This validation only focuses on a single ecrf. The consistency among ecrfs will not be checked at this point. Validated ecrf will be locked. 13
14 A single mistake may violate many rules The age of patient SCAI-04 was missing, which lead to these 5 violations of rules. 14
15 Correct the error and re-check this ecrf When research nurse corrected the error and froze the ecrf again, this ecrf was checked again. Since the status was all passed, this ecrf was locked. 15
16 Using a finished phase I trial as an example to test the workflow approach Data tabulation steps are semi-automatic. The most time consuming part is manual transversing rows and columns. 16
17 All domains were exported to a single Excel worksheet Exported data were manually separated based on SDTM domains into different worksheets. 17
18 Import Excel files into SAS Export tabulation results in xpt format Converting xlsx files to xpt files by using SAS The data were converted to xpt format directly without statistical analysis in this proof-of-concept study. In other words, the ADaM standard is not discussed here. 18
19 Using a finished phase I trial as an example to test the workflow approach 19
20 Validating data sets by using the OpenCDISC resource The define.xml file was generated by using OpenCDISC resource. This file and the xpt files were validated by the validator tool. 20
21 Validation report showed that some required data were not collected in this trial The users designed the CRFs themselves based on the needs in science. As a result, a few compulsory information were not collected. Previous validation step on CRF was based on the variables in the form. The CDISC required variables were not checked. 21
22 Summary The impact on users The users of CDMS did not feel any change except that they had to use a standardized codebook to perform analysis. Users need to work with staffs in resource center to prevent missing the required fields in the CRF design. The impact on resource center This workflow-based approach put most of the workload (i.e. making electronic annotated CRF) on staffs in the resource center. Staff s working experiences are precious for improving the CDMS, such as establishing a question library, etc. The advantage of adopting standards from start Questions are re-usable Quality control can be done in early stage 22
SDTM AND ADaM: HANDS-ON SOLUTIONS
SDTM AND ADaM: HANDS-ON SOLUTIONS CDISC French Speaking User Group Paris, France 17 February 2012 Joris De Bondt, Head Data Standards & Process Improvements Tineke Callant, Senior Biostatistical Analyst
USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE
USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE Kalyani Chilukuri, Clinovo, Sunnyvale CA WUSS 2011 Annual Conference October 2011 TABLE OF CONTENTS 1. ABSTRACT... 3 2. INTRODUCTION...
SDTM, ADaM and define.xml with OpenCDISC Matt Becker, PharmaNet/i3, Cary, NC
PharmaSUG 2012 - Paper HW07 SDTM, ADaM and define.xml with OpenCDISC Matt Becker, PharmaNet/i3, Cary, NC ABSTRACT Standards are an ongoing focus of the health care and life science industry. Common terms
Practical application of SAS Clinical Data Integration Server for conversion to SDTM data
Paper DM03 Practical application of SAS Clinical Data Integration Server for conversion to SDTM data Peter Van Reusel, Business & Decision Life Sciences, Brussels, Belgium Mark Lambrecht, SAS, Tervuren,
Lessons on the Metadata Approach. Dave Iberson- Hurst 9 th April 2014 CDISC Euro Interchange 2014
1 Lessons on the Metadata Approach Dave Iberson- Hurst 9 th April 2014 CDISC Euro Interchange 2014 2 Experience Human beings, who are almost unique in having the ability to learn from the experience of
UTILIZING CDISC STANDARDS TO DRIVE EFFICIENCIES WITH OPENCLINICA Mark Wheeldon CEO, Formedix Boston June 21, 2013
UTILIZING CDISC STANDARDS TO DRIVE EFFICIENCIES WITH OPENCLINICA Mark Wheeldon CEO, Formedix Boston June 21, 2013 AGENDA Introduction Real World Uses : Saving Time & Money. Your Clinical Trials Automated.
PharmaSUG 2015 Paper SS10-SAS
ABSTRACT PharmaSUG 2015 Paper SS10-SAS Using SAS Clinical Data Integration to Roundtrip a Complete Study Study Metadata (Define-XML) and Study Data (Dataset-XML) Ken Ellis, SAS Institute Inc., Cary, NC,
Understanding CDISC Basics
Trends in Bio/Pharmaceutical Industry Understanding CDISC Basics Jane Ma Abstract Data standards can make data and its associated program more portable. The CDISC (Clinical Data Interchange Standards Consortium)
Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA
Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA ABSTRACT A new industry standard for clinical trials data,
SAS CLINICAL TRAINING
SAS CLINICAL TRAINING Presented By 3S Business Corporation Inc www.3sbc.com Call us at : 281-823-9222 Mail us at : [email protected] Table of Contents S.No TOPICS 1 Introduction to Clinical Trials 2 Introduction
CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co
CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co CDISC Ausblick: Weitere Entwicklung und Konvergenz der CDISC-Standards SDTM, ODM & Co. Jozef Aerts - XML4Pharma Disclaimer Views
Implementation of SDTM in a pharma company with complete outsourcing strategy. Annamaria Muraro Helsinn Healthcare Lugano, Switzerland
Italian-Speaking CDISC User Group 2008 Implementation of SDTM in a pharma company with complete outsourcing strategy Annamaria Muraro Helsinn Healthcare Lugano, Switzerland Background Full outsourcing
«How we did it» Implementing CDISC LAB, ODM and SDTM in a Clinical Data Capture and Management System:
Implementing CDISC LAB, ODM and SDTM in a Clinical Data Capture and Management System: «How we did it» 27 April 2006 Berlin CDISC Interchange Xavier Bessette, [i-clinics] Jozef Aerts, XML4Pharma Who are
Organization Profile. IT Services
Introduction In today s scientific and medical world, various issues in clinical trials and research have permeated every society and every field in medicine. Ethics and in particular the quality of research
Introduction to the CDISC Standards
Introduction to the CDISC Standards Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania ABSTRACT The Clinical Data Interchange Standards Consortium (CDISC) encompasses a suite of standards across
Statistical Operations: The Other Half of Good Statistical Practice
Integrating science, technology and experienced implementation Statistical Operations: The Other Half of Good Statistical Practice Alan Hopkins, Ph.D. Theravance, Inc. Presented at FDA/Industry Statistics
What is Clinical Data Management
What is Clinical Data Management Clinical Data Management is involved in all aspects of processing the clinical data, working with a range of computer applications, database systems to support collection,
CDER/CBER s Top 7 CDISC Standards Issues
CDER/CBER s Top 7 CDISC Standards Issues Dhananjay Chhatre, MS, RAC edata Management Solutions Team Office of Business Informatics CDER, U.S. FDA Amy Malla Review Management CBER, U.S. FDA Background ~
How to easily convert clinical data to CDISC SDTM
How to easily convert clinical data to CDISC SDTM Ale Gicqueau, Clinovo, Sunnyvale, CA Miki Huang, Clinovo, Sunnyvale, CA Stephen Chan, Clinovo, Sunnyvale, CA INTRODUCTION Sponsors are receiving clinical
SDTM-ETL TM. The user-friendly ODM SDTM Mapping software package. Transforming operational clinical data into SDTM datasets is not an easy process.
SDTM-ETL TM The user-friendly ODM SDTM Mapping software package Transforming operational clinical data into SDTM datasets is not an easy process. Therefore, XML4Pharma has developed a visual, easy-to-use
Clinical Data Management is involved in all aspects of processing the clinical data, working with a range of computer applications / database systems
Clinical Data Management is involved in all aspects of processing the clinical data, working with a range of computer applications / database systems to support collection, cleaning and management of subject
Module 9 Ad Hoc Queries
Module 9 Ad Hoc Queries Objectives Familiarize the User with basic steps necessary to create ad hoc queries using the Data Browser. Topics Ad Hoc Queries Create a Data Browser query Filter data Save a
Clinical Data Management Overview
The 2 nd Clinical Data Management Training Clinical Data Management Overview Andrew Taylor ( 安 泰 乐 ), M.S. Head of Clinical Data Management August 30, 2010 Learning Objectives Overview of Process Related
Rationale and vision for E2E data standards: the need for a MDR
E2E data standards, the need for a new generation of metadata repositories Isabelle de Zegher, PAREXEL Informatics, Belgium Alan Cantrell, PAREXEL, United Kingdom Julie James, PAREXEL Informatics, United
PharmaSUG2010 - Paper CD13
PharmaSUG2010 - Paper CD13 In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets Bhavin Busa, Cubist Pharmaceuticals, Inc., Lexington, MA Kim Lindfield, Cubist Pharmaceuticals,
Implementation and Operation of CDISC ODM-based EDC by UMIN
Implementation and Operation of CDISC ODM-based EDC by UMIN Takahiro Kiuchi, M.D., Ph.D. UMIN Center, The University of Tokyo Hospital, Tokyo, Japan 1 Content 1. CDISC standards and academic research 2.
End-to-End E-Clinical Coverage with Oracle Health Sciences InForm GTM
End-to-End E-Clinical Coverage with InForm GTM A Complete Solution for Global Clinical Trials The broad market acceptance of electronic data capture (EDC) technology, coupled with an industry moving toward
WHITE PAPER. CONVERTING SDTM DATA TO ADaM DATA AND CREATING SUBMISSION READY SAFETY TABLES AND LISTINGS. SUCCESSFUL TRIALS THROUGH PROVEN SOLUTIONS
WHITE PAPER CONVERTING SDTM DATA TO ADaM DATA AND CREATING SUBMISSION READY SAFETY TABLES AND LISTINGS. An innovative approach to deliver statistical analysis and data in a CDISC ADaM complient manner
Using the SAS XML Mapper and ODS PDF to create a PDF representation of the define.xml (that can be printed)
Using the SAS XML Mapper and ODS PDF to create a PDF representation of the define.xml (that can be printed) Lex Jansen TAKE Solutions CDISC Atlantic User Group Meeting 2008-02-21 Regulatory Landscape (FDA)
Training/Internship Brochure Advanced Clinical SAS Programming Full Time 6 months Program
Training/Internship Brochure Advanced Clinical SAS Programming Full Time 6 months Program Domain Clinical Data Sciences Private Limited 8-2-611/1/2, Road No 11, Banjara Hills, Hyderabad Andhra Pradesh
Data Conversion to SDTM: What Sponsors Can Do to Facilitate the Process
Data Conversion to SDTM: What Sponsors Can Do to Facilitate the Process Fred Wood VP, Data Standards Consulting Octagon Research Solutions CDISC U.S. Interchange Baltimore, MD November 2009 1 Outline Background
PhUSE 2010. Paper CD13
Paper CD13 Clinical Data Interchange Standards Consortium (CDISC) integration into the Oracle Clinical/Remote Data Capture (OC/RDC) clinical data management system Peter Van Reusel, Business & Decision
A white paper presented by: Barry Cohen Director, Clinical Data Strategies Octagon Research Solutions, Inc. Wayne, PA
THE CLINICAL DATA AND REGULATORY EXPERTS SDTM, Plus or Minus A white paper presented by: Barry Cohen Director, Clinical Data Strategies Octagon Research Solutions, Inc. Wayne, PA This Whitepaper is for
XClinical offers an integrated range of software products for CROs, pharmaceutical, medical device and biopharmaceutical companies.
XCLINICAL Software & Services - Fast - Flexible - Focused XClinical offers an integrated range of software products for CROs, pharmaceutical, medical device and biopharmaceutical companies. Our products
Use of standards: can we really be analysis ready?
Standards in analysis & reporting Use of standards: can we really be analysis ready? Analysis ready? Why? Reducing time to market/approval Reducing time to delivery Reducing re work Designing subsequent
New features in SDTM-ETL v.1.2 1 SDTM-ETL TM. New Features in version 1.2
New features in SDTM-ETL v.1.2 1 SDTM-ETL TM New Features in version 1.2 This document describes the new features in version 1.2 of the SDTM-ETL TM software. It can be used in addition to the STDM-ETL
The Development of the Clinical Trial Ontology to standardize dissemination of clinical trial data. Ravi Shankar
The Development of the Clinical Trial Ontology to standardize dissemination of clinical trial data Ravi Shankar Open access to clinical trials data advances open science Broad open access to entire clinical
Overview of CDISC Implementation at PMDA. Yuki Ando Senior Scientist for Biostatistics Pharmaceuticals and Medical Devices Agency (PMDA)
Overview of CDISC Implementation at PMDA Yuki Ando Senior Scientist for Biostatistics Pharmaceuticals and Medical Devices Agency (PMDA) CDISC 2012 Outline Introduction Update of PMDA activity CDISC implementation
How to Use SDTM Definition and ADaM Specifications Documents. to Facilitate SAS Programming
How to Use SDTM Definition and ADaM Specifications Documents to Facilitate SAS Programming Yan Liu Sanofi Pasteur ABSTRCT SDTM and ADaM implementation guides set strict requirements for SDTM and ADaM variable
The ADaM Solutions to Non-endpoints Analyses
The ADaM Solutions to Non-endpoints Analyses ABSTRACT Chengxin Li, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA There always exist some analyses for non endpoints in the study. These
SDTM-ETL 3.1 New Features
SDTM-ETL 3.1 New Features SDTM-ETL 3.1 has a lot of new features. The most important ones are listed and explained in this document which lists all major new features of versions 3.0 and 3.1. Support for
Clinical Data Management BPaaS Approach HCL Technologies
Leading pharmaceutical companies are estimating new business models including alternative Clinical data management platforms to reduce costs, shorten timelines, and maintain quality and compliance. HCL
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA ABSTRACT The Clinical Data Interchange Standards Consortium (CDISC),
Electronic Submission of Regulatory Information, and Creating an Electronic Platform for Enhanced Information Management
Written Notice of Participation by the Clinical Data Interchange Standards Consortium (CDISC) and Written Statement for Discussion Topics to be Addressed In the FDA Public Hearing: Electronic Submission
A Macro to Create Data Definition Documents
A Macro to Create Data Definition Documents Aileen L. Yam, sanofi-aventis Inc., Bridgewater, NJ ABSTRACT Data Definition documents are one of the requirements for NDA submissions. This paper contains a
Sanofi-Aventis Experience Submitting SDTM & Janus Compliant Datasets* SDTM Validation Tools - Needs and Requirements
In-Depth Review of Tools to Check Compliance of CDISC - Ready Clinical s Bhavin Busa March 2 nd, 2011 Managing Clinical in the Age of CDISC BASUG Quarterly Meeting Presentation Outline Brief introduction
Clinical Data Management (Process and practical guide) Dr Nguyen Thi My Huong WHO/RHR/RCP/SIS
Clinical Data Management (Process and practical guide) Dr Nguyen Thi My Huong WHO/RHR/RCP/SIS Training Course in Sexual and Reproductive Health Research Geneva 2012 OUTLINE Clinical Data Management CDM
datalabs edc REvolutionizing clinical data management
datalabs edc REvolutionizing clinical data management Since 2002, the DataLabs EDC solution has been helping many biopharmaceutical sponsors, clinical research organizations (CROs) and medical device manufacturers
Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners
Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners Within the Pharmaceutical Industry, nothing is more fundamental to business success than bringing drugs and medical
Extracting the value of Standards: The Role of CDISC in a Pharmaceutical Research Strategy. Frank W. Rockhold, PhD* and Simon Bishop**
Extracting the value of Standards: The Role of CDISC in a Pharmaceutical Research Strategy Frank W. Rockhold, PhD* and Simon Bishop** GlaxoSmithKline Research and Development. RTP NC and Stevenage, UK
EditAble CRM Grid. For Microsoft Dynamics CRM. How To Guide. Trial Configuration: Opportunity View EditAble CRM Grid Scenario
EditAble CRM Grid For Microsoft Dynamics CRM How To Guide Trial Configuration: Opportunity View EditAble CRM Grid Scenario Table of Contents Overview... 3 Opportunity View EditAble CRM Grid... 3 Scenario...
Paper PO03. A Case of Online Data Processing and Statistical Analysis via SAS/IntrNet. Sijian Zhang University of Alabama at Birmingham
Paper PO03 A Case of Online Data Processing and Statistical Analysis via SAS/IntrNet Sijian Zhang University of Alabama at Birmingham BACKGROUND It is common to see that statisticians at the statistical
PharmaSUG2010 HW06. Insights into ADaM. Matthew Becker, PharmaNet, Cary, NC, United States
PharmaSUG2010 HW06 Insights into ADaM Matthew Becker, PharmaNet, Cary, NC, United States ABSTRACT ADaM (Analysis Dataset Model) is meant to describe the data attributes such as structure, content, and
CDISC standards and data management The essential elements for Advanced Review with Electronic Data
Session 6: Toward Electronic Submission of Study Data for New Drug Applications CDISC standards and data management The essential elements for Advanced Review with Electronic Data Yuki Ando Senior Scientist
Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR)
Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR) Questionnaire Supplement to the Study Data Tabulation Model Implementation Guide for Human Clinical Trials Prepared by TBI Standards
ABSTRACT INTRODUCTION THE MAPPING FILE GENERAL INFORMATION
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology Ale Gicqueau, Clinovo, Sunnyvale, CA Marc Desgrousilliers, Clinovo, Sunnyvale, CA ABSTRACT CDISC SDTM data is the standard
The purpose of this User Guide is to provide users with guidance on the following:
LEAD MANAGEMENT Introduction The purpose of this User Guide is to provide users with guidance on the following: Creating a Lead Importing Leads Managing Leads Completing a Lead Not Proceeding Re-opening
SDTM Validation Rules in XQuery
SDTM Validation Rules in XQuery FH-Prof. Dr. Jozef Aerts Univ. Appl. Sciences FH Joanneum Graz, Austria Can you understand the following validation rule (part 1)? SDTM Validation Rules in XQuery Jozef
Package R4CDISC. September 5, 2015
Type Package Title Read CDISC Data Files Version 0.4 Date 2015-9-5 Depends R (>= 3.0.3, XML Author Package R4CDISC September 5, 2015 Maintainer URL https://github.com/i-akiya/r4cdisc
Udo Siegmann member of e3c, CDISC Sen. Dir. Acc. Management PAREXEL
Innovative Medicines Technological Platform Udo Siegmann member of e3c, CDISC Sen. Dir. Acc. Management PAREXEL Facts about PAREXEL Full service CRO (Clinical Research Organisation) Involved in more than
Implementing CDASH Standards Into Data Collection and Database Design. Robert Stemplinger ICON Clinical Research
Implementing CDASH Standards Into Data Collection and Database Design Robert Stemplinger ICON Clinical Research 1 Agenda Reasons for Using CDASH Project Outline Implementation Discussion of Results Reasons
IBM DB2 XML support. How to Configure the IBM DB2 Support in oxygen
Table of Contents IBM DB2 XML support About this Tutorial... 1 How to Configure the IBM DB2 Support in oxygen... 1 Database Explorer View... 3 Table Explorer View... 5 Editing XML Content of the XMLType
Business & Decision Life Sciences
Business & Decision Life Sciences Define-it: Demo webinar Anne-Sophie Bekx / 20th May 2014 INSERT COMPANY LOGO IN MASTER SLIDE HERE History of Define.xml Define-it Software Demo Define-it versions Q &
Programme Guide PGDCDM
Post Graduate Diploma in Clinical Data Management and Biostatistics with SAS Programme Guide PGDCDM School of Health Sciences Indira Gandhi National Open University WHY THIS PROGRAMME? The Post Graduate
Business & Decision Life Sciences CDISC Workshop: From SDTM to ADaM: Mapping Methodologies
Business & Decision Life Sciences CDISC Workshop: From SDTM to ADaM: Mapping Methodologies Jessica Minkue Mi Edou / 18th September 2014 From SDTM to ADaM: Mapping Methodologies CDISC and ADaM Introduc0on
A white paper. Data Management Strategies
A white paper Data Management Strategies Data Management Strategies Part 1: Before the Study Starts By Jonathan Andrus, M.S., CQA, CCDM Electronic Data Capture (EDC) systems should be more than just a
Current Status and Future Perspectives for Systemization of Clinical Study related the issues of CDISC in USA and other
Current Status and Future Perspectives for Systemization of Clinical Study related the issues of CDISC in USA and other ABSTRACT The term "the CDISC standard" has been used incorrectly for a few years.
.CRF. Electronic Data Capture and Workflow System for Clinical Trials
.CRF Electronic Data Capture and Workflow System for Clinical Trials Business challenge Most research takes place in different centers simultaneously. These are often located in different cities or even
Meta-programming in SAS Clinical Data Integration
Meta-programming in SAS Clinical Data Integration : a programmer s perspective Mark Lambrecht, PhD Phuse Single Day Event Brussels, February 23 rd 2010. Contents SAS Clinical Data Integration : an introduction
From the Start Page click on Create New Client. Alternatively, you can click on New Client within the Browse window on the left hand side
Lead Management The purpose of this User Guide is to provide users with guidance on how to create and manage leads. The guide has been split into a number of sections for ease of reference: Creating a
PhUSE Annual Meeting, London 2014
PhUSE Annual Meeting, London 2014 Metadata, Study data standards, Master data, terminology, interoperability: Key concepts underlying compliance to FDA guidance on electronic submission Isabelle de Zegher,
KCR Data Management: Designed for Full Data Transparency
KCR Data Management: Designed for Full Data Transparency 6% Observational 4% Phase IV 2% Device 11% Phase I 28% Phase II 49% Phase III The quality of study data relies first and foremost on the quality
The Future of Clinical Data in Clinical Research
The Future of Clinical Data in Clinical Research Rebecca D. Kush, PhD President & CEO, CDISC SBMF International Course on Clinical Research, Brazil 1 November 2008 What if. mobile devices were used regularly
Introduction. The Evolution of the Data Management Role: The Clinical Data Liaison
Introduction The CDL is a new role that will become a standard in the industry for companies that want to make more efficient use of limited resources: time and money. A CDL is key in that he or she conducts
Implementing a Web-Based Architecture for DICOM Data Capture in Clinical Trials
Implementing a Web-Based Architecture for DICOM Data Capture in Clinical Trials Daniel Haak, Charles E. Page, Thomas M. Deserno Department of Medical Informatics, Uniklinik RWTH Aachen [email protected]
SDTM Validation: Methodologies and Tools
SDTM Validation: Methodologies and Tools Bay Area CDISC Implementation Network Meeting Friday, April 30 th, 2010 Dan Shiu Disclaimer The ideas and examples presented here do NOT imply: They have been or
Creating a Participants Mailing and/or Contact List:
Creating a Participants Mailing and/or Contact List: The Limited Query function allows a staff member to retrieve (query) certain information from the Mediated Services system. This information is from
Guide to Low Cost Electronic Data Capture Systems for Clinical Trials Supported by the Institute for Translational Health Sciences, Seattle, WA
Guide to Low Cost Electronic Data Capture Systems for Clinical Trials Supported by the Institute for Translational Health Sciences, Seattle, WA Paul OldenKamp Seattle Children s Research Institute and
ClinPlus. Report. Technology Consulting Outsourcing. Create high-quality statistical tables and listings. An industry-proven authoring tool
Technology Consulting Outsourcing ClinPlus Report Create high-quality statistical tables and listings An industry-proven authoring tool Ensure consistency across different programmers Extensive Template
ORACLE CLINICAL. Globalization. Flexibility. Efficiency. Competition ORACLE DATA SHEET OVERVIEW ROBUST CLINICAL DATA MANAGEMENT SOLUTION
ORACLE CLINICAL OVERVIEW ROBUST CLINICAL DATA MANAGEMENT SOLUTION Smoothly transition from paper to EDC trials Annotated CRFs provides an intuitive means of creating submission-ready annotations Improved
Explore commands on the ribbon Each ribbon tab has groups, and each group has a set of related commands.
Quick Start Guide Microsoft Excel 2013 looks different from previous versions, so we created this guide to help you minimize the learning curve. Add commands to the Quick Access Toolbar Keep favorite commands
Analytics Canvas Tutorial: Cleaning Website Referral Traffic Data. N m o d a l S o l u t i o n s I n c. A l l R i g h t s R e s e r v e d
Cleaning Website Referral Traffic Data Overview Welcome to Analytics Canvas's cleaning referral traffic data tutorial. This is one of a number of detailed tutorials in which we explain how each feature
Sage 500 ERP (7.4) Business Intelligence
Sage 500 ERP (7.4) Business Intelligence Release Notes for Product Update 3 Sage 500 Business Intelligence (7.4) Product update 3 The software described in this document is protected by copyright, and
Downloading Your Financial Statements to Excel
Downloading Your Financial Statements to Excel Downloading Data from CU*BASE to PC INTRODUCTION How can I get my favorite financial statement from CU*BASE into my Excel worksheet? How can I get this data
Excel Reports User Guide
Excel Reports User Guide Copyright 2000-2006, E-Z Data, Inc. All Rights Reserved. No part of this documentation may be copied, reproduced, or translated in any form without the prior written consent of
Einführung in die CDISC Standards CDISC Standards around the World. Bron Kisler (CDISC) & Andrea Rauch DVMD Tagung 11.-14.
Einführung in die CDISC Standards CDISC Standards around the World Bron Kisler (CDISC) & Andrea Rauch DVMD Tagung 11.-14. März 2015 1 Outline Overview of CDISC Therapeutic Area Standards SHARE Metadata
Copyright 2012, SAS Institute Inc. All rights reserved. VISUALIZATION OF STANDARD TLFS FOR CLINICAL TRIAL DATA ANALYSIS
VISUALIZATION OF STANDARD TLFS FOR CLINICAL TRIAL DATA ANALYSIS WENJUN BAO AND JASON CHEN JMP, SAS INC. PHUSE, SHANGHAI, NOV 28, 2014 OUTLINES: CDISC Standard SDTM ADaM Interactive Standardized TLFs Tables
Data Quality in Clinical Trials: a Sponsor's view
Data Quality in Clinical Trials: a Sponsor's view Elena Carzana Data Manager Chiesi Farmaceutici Padova, 27 th September 2012 IV BIAS ANNUAL CONGRESS Data Quality in Clinical Trials Agenda Definition Impacts
Managing Custom Data Standards in SAS Clinical Data Integration
PharmaSUG 2015 - Paper DS19-SAS Managing Custom Data Standards in SAS Clinical Data Integration ABSTRACT Melissa R. Martinez, SAS Institute, Inc., Round Rock, Texas, United States SAS Clinical Data Integration
No. 706. Page 1 of 5. Issue Date 4/21/2014
Subject: ROUTINE MONITORING VISITS Standard Operating Procedure Prepared By: Beaumont Research Coordinating Center, Research Institute PURPOSE Prior Issue Date 8/15/2011 No. 706 Issue Date 4/21/2014 Page
CDISC SDTM/ADaM Pilot Project 1 Project Report
Executive Summary Background CDISC SDTM/ADaM Pilot Project 1 Project Report CDISC is a non-profit, multidisciplinary consensus based standards development organization founded over a decade ago that has
SigmaSoft International Software Features
SigmaSoft International Software Features www.sigmasoftintl.com SigmaSoft International SigmaSoft International is a global provider of data management software for clinical trials - DMSys. We provide
Bridging Statistical Analysis Plan and ADaM Datasets and Metadata for Submission
, October 24-26, 2012, San Francisco, USA Bridging Statistical Analysis Plan and ADaM Datasets and Metadata for Submission Abstract In this article, the relationship between the Statistical Analysis Plan
2. Unzip the file using a program that supports long filenames, such as WinZip. Do not use DOS.
Using the TestTrack ODBC Driver The read-only driver can be used to query project data using ODBC-compatible products such as Crystal Reports or Microsoft Access. You cannot enter data using the ODBC driver;
A Brief Introduc/on to CDISC SDTM and Data Mapping
A Brief Introduc/on to CDISC SDTM and Data Mapping Agenda Flow of Clinical Trials Data The Problem Introducing CDISC Understanding SDTM Concepts of Data Mapping References 5/3/10 2 Flow of Clinical Trials
Bringing Order to Your Clinical Data Making it Manageable and Meaningful
CLINICAL DATA MANAGEMENT Bringing Order to Your Clinical Data Making it Manageable and Meaningful eclinicalsol.com DATA IS SIMPLY BEAUTIFUL DATA STACKS IN STANDARD FORMATION This imaginative visual suggests
The Clinical Research Center
The Clinical Research Center Clinical Research Database and Web Survey Technologies An Overview of products available to Children s Hospital Boston Investigators The Clinical Research Center Page 2 Data
