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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Pubblicato in:J Am Med Inform Assoc
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2015
Soggetti:
Research and Applications
Accesso online: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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