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

doi:10.1136/amiajnl-2013-001939

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Article

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

Journal of the American Medical Informatics Association : JAMIA - 1 Dec 2013

Pathak Jyotishman, Bailey Kent R, Beebe Calvin E, Bethard Steven, Carrell David C, Chen Pei J, Dligach Dmitriy, Endle Cory M, Hart Lacey A, Haug Peter J, Huff Stanley M, Kaggal Vinod C, Li Dingcheng, Liu Hongfang, Marchant Kyle, Masanz James, Miller Timothy, Oniki Thomas A, Palmer Martha, Peterson Kevin J, Rea Susan, Savova Guergana K, Stancl Craig R, Sohn Sunghwan, Solbrig Harold R, Suesse Dale B, Tao Cui, Taylor David P, Westberg Les, Wu Stephen, Zhuo Ning, Chute Christopher G

Abstract excerpt

RESEARCH OBJECTIVE: To develop scalable informatics infrastructure for normalization of both structured and unstructured electronic health record (EHR) data into a unified, concept-based model for high-throughput phenotype extraction. MATERIALS AND METHODS: Software tools and applications were developed to extract information from EHRs. Representative and convenience samples of both structured and unstructured...

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PMID: 24190931
DOI: 10.1136/amiajnl-2013-001939
PMCID: PMC3861933

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

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