Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

CONCLUSIONS: End-to-end automated systems for extracting clinical information from diverse EHR systems require extensive use of standardized vocabularies and terminologies, as well as robust information models for storing, discovering, and processing that information. This study demonstrates the application of modular and open-source resources for enabling secondary use of EHR data through normalization into standards-based, comparable, and consistent format for high-throughput phenotyping to identify patient cohorts. PMID: 24190931 [PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/24190931?dopt=Abstract

Source: Journal of the American Medical Informatics Association - November 4, 2013 Category: Information Technology Authors: Pathak J, Bailey KR, Beebe CE, Bethard S, Carrell DC, Chen PJ, Dligach D, Endle CM, Hart LA, Haug PJ, Huff SM, Kaggal VC, Li D, Liu H, Marchant K, Masanz J, Miller T, Oniki TA, Palmer M, Peterson KJ, Rea S, Savova GK, Stancl CR, Sohn S, Solbrig HR, Suesse Tags: J Am Med Inform Assoc Source Type: research