Desiderata for computable representations of electronic health records-driven phenotype algorithms

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 protoco...

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Détails bibliographiques
Publié dans:J Am Med Inform Assoc
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2015
Sujets:
Research and Applications
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4639716/
https://ncbi.nlm.nih.gov/pubmed/26342218
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv112
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