DATA NORMALIZATION. Harmonize data from disparate sources into standard terminologies

Transcription

1 DATA NORMALIZATION Harmonize data from disparate sources into standard terminologies

2 UNLOCKING THE VALUE OF YOUR DATA In today s healthcare world, patient information is spread across entire communities each with multiple IT systems. While syntactic standards such as HL7 define messaging structure and aid in communication among disparate healthcare IT systems, there is no single, universally accepted standard for the language in the message. For an integrated healthcare system to "understand" clinical data, the meaning of the data must be unambiguous. EMR LAB INTEGRATED PATIENT INFORMATION Diagnosis: Heart Failure Labs indicative of hypervolumia CLAIMS WAREHOUSE SNOMED: Left ventricular systolic dysfunction Local Codeset: A352 BN peptide 180 pg/ml ICD-10: Systolic (congestive) heart failure LOINC: Natriuretic peptide B [Mass/ volume] in Serum or Plasma HOSPITAL PAYER How do I measure performance, gain insights, and support enterprise interoperability with information that is semantically fragmented? EMR LAB ICD-9: Heart disease, unspecified Local Codeset: 5839G2 Brain natriuretic peptide 140 pg/ml AMBULATORY A semantically normalized information model is essential for the use of evidence-based care protocols, quality improvement, and population health management, as well as for HIEs, ACOs, PCMHs, pay-for-performance programs, data warehousing, and other forward-looking initiatives.

3 SOLUTION OVERVIEW Our solution establishes semantic interoperability within your healthcare IT ecosystem. Inbound data from disparate sources is auto-mapped to standardized terminologies using powerful automated mapping algorithms. The result is interoperable, industry-standard data for use in reporting, analytics, data warehousing, and other enterprise applications. IT Systems Electronic Health Record, Laboratory Information System, Practice Management System, Claims Warehouse, Clinical Data Repository NDD INBOU ATA «Ambulatory «Acute «Payer «HIE «ACO AP Data Organization Context-sensitive evaluation of hierarchical sets of associated data elements IR EQ U Disparate Terminologies ICD-9, ICD-10, SNOMED CT, CPT-4, LOINC, HCPCS, NDC, RxNorm, proprietary, unstructured/free text T G ALGORITHM PPIN S MA ES MALIZEDDATA R O N AP IR ES U LT Mapped Results Terminology services can also be used to return data in the native terminology of the source system» Reporting» Analytics» Notifications» Stratification» Insight Standard Clinical Terminology Data can be safely exchanged and analyzed such that each clinical system can understand the data that it has received CPT is a registered trademark of the American Medical Association System Learning Continuous map creation due to full runtime implementation and ability for system to learn new maps in real time

4 SOLUTION CAPABILITIES Auto Mapping Algorithms Normalize full catalogs or distinct elements from cryptic and poorly maintained source data into standard terminologies. Terminology Management Map, model, and manage local terminologies alongside over 180 standard and enhanced terminologies and nearly one million context-specific synonyms. Real-Time Integration Integrate normalization services seamlessly into your enterprise using our web services and APIs. Web-Based Access Portal Collaborate on mapping, task review, and algorithm tuning, while maintaining full content versioning and a complete audit trail.

5 AUTOMATED MAPPING ALGORITHMS LAB EBV Quant By PCR Whole Blood Epstein Barr Virus: DNA (Presence) in Blood by Probe and Target amplification method LOINC DATA NORMALIZATION DRUG cod ER tab.1gm Codeine 100MG Extended Release Tablet RxNorm DATA NORMALIZATION

6 OUR ENTERPRISE TERMINOLOGY MANAGEMENT SOLUTION We provide you with software, content, and consulting solutions that map, translate, update, and manage standard and enhanced clinical terminologies. Our global team of developers, medical professionals, terminology content domain experts, and other healthcare information technology specialists have built an enterprise terminology management platform that enables the information liquidity required to support some of healthcare's toughest challenges, such as meaningful use compliance, ICD-10 conversion, population health management, analytics, ACOs, and semantic interoperability among systems. Wolters Kluwer Health All Rights Reserved. HL-DN-0414