Article
Desiderata for computable representations of electronic health records-driven phenotype algorithms.
Journal of the American Medical Informatics Association : JAMIA - 1 Nov 2015
Mo Huan, Thompson William K, Rasmussen Luke V, Pacheco Jennifer A, Jiang Guoqian, Kiefer Richard, Zhu Qian, Xu Jie, Montague Enid, Carrell David S, Lingren Todd, Mentch Frank D, Ni Yizhao, Wehbe Firas H, Peissig Peggy L, Tromp Gerard, Larson Eric B, Chute Christopher G, Pathak Jyotishman, Denny Joshua C, Speltz Peter, Kho Abel N, Jarvik Gail P, Bejan Cosmin A, Williams Marc S, Borthwick Kenneth, Kitchner Terrie E, Roden Dan M, Harris Paul A
Abstract excerpt
BACKGROUND: Electronic health records (EHRs) are increasingly used for clinical and translational research through the creation of phenotype algorithms. Currently, phenotype algorithms are most commonly represented as noncomputable descriptive documents and knowledge artifacts that detail the protocols for querying diagnoses, symptoms, procedures, medications, and/or text-driven medical concepts, and are...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.