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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Publicat a:J Am Med Inform Assoc
Autors principals: 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
Idioma:Inglês
Publicat: Oxford University Press 2015
Matèries:
Research and Applications
Accés en línia: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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