Article
Characterizing variability of electronic health record-driven phenotype definitions.
Journal of the American Medical Informatics Association : JAMIA - 16 Feb 2023
Brandt Pascal S, Kho Abel, Luo Yuan, Pacheco Jennifer A, Walunas Theresa L, Hakonarson Hakon, Hripcsak George, Liu Cong, Shang Ning, Weng Chunhua, Walton Nephi, Carrell David S, Crane Paul K, Larson Eric B, Chute Christopher G, Kullo Iftikhar J, Carroll Robert, Denny Josh, Ramirez Andrea, Wei Wei-Qi, Pathak Jyoti, Wiley Laura K, Richesson Rachel, Starren Justin B, Rasmussen Luke V
Abstract excerpt
OBJECTIVE: The aim of this study was to analyze a publicly available sample of rule-based phenotype definitions to characterize and evaluate the variability of logical constructs used. MATERIALS AND METHODS: A sample of 33 preexisting phenotype definitions used in research that are represented using Fast Healthcare Interoperability Resources and Clinical Quality Language (CQL) was analyzed using automated...
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