Pulse Brain · Growing Health Evidence Index
Peer-reviewed

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Jacqueline Kirby, Peter Speltz, Luke V. Rasmussen, Melissa Basford, Omri Gottesman, Peggy Peissig, Jennifer A. Pacheco, Gerard Tromp, Jyotishman Pathak, David Carrell, Stephen B. Ellis, Todd Lingren, Will K Thompson, Guergana Savova, Jonathan L. Haines, Dan M. Roden, Paul A. Harris, Joshua C. Denny

Journal of the American Medical Informatics Association · 2016

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Summary

OBJECTIVE: Health care generated data have become an important source for clinical and genomic research. Often, investigators create and iteratively refine phenotype algorithms to achieve high positive predictive values (PPVs) or sensitivity, thereby identifying valid cases and controls. These algorithms achieve the greatest utility when validated and shared by multiple health care systems.Materials and Methods We report the current status and impact of the Phenotype KnowledgeBase (PheKB, http://phekb.org), an online environment supporting the workflow of building, sharing, and validating electronic phenotype algorithms. We analyze the most frequent components used in algorithms and their performance at authoring institutions and secondary implementation sites. RESULTS: As of June 2015, Ph

Subject
Other / interdisciplinary
Source type
Peer-reviewed study
System type
Other
DOI
10.1093/jamia/ocv202
Catalogue ID
BFmou2m1rn-g6zy6t
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