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Article

Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation.

Methods of information in medicine - 1 Sept 2021

Liu Yiyang, Siddiqi Khairul A, Cook Robert L, Bian Jiang, Squires Patrick J, Shenkman Elizabeth A, Prosperi Mattia, Jayaweera Dushyantha T

Abstract excerpt

BACKGROUND: Electronic health record (EHR)-based computable phenotype algorithms allow researchers to efficiently identify a large virtual cohort of Human Immunodeficiency Virus (HIV) patients. Built upon existing algorithms, we refined, improved, and validated an HIV phenotype algorithm using data from the OneFlorida Data Trust, a repository of linked claims data and EHRs from its clinical partners, which...

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Source

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Identifiers

PMID: 34592777
DOI: 10.1055/s-0041-1735619
PMCID: PMC8672443

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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