Characterizing variability of electronic health record-driven phenotype definitions.

ABSTRACT:

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 analysis of the computable representation of the CQL libraries.

Results

Most of the phenotype definitions include narrative descriptions and flowcharts, while few provide pseudocode or executable artifacts. Most use 4 or fewer medical terminologies. The number of codes used ranges from 5 to 6865, and value sets from 1 to 19. We found that the most common expressions us

SUBMITTER: Brandt PS 

PROVIDER: S-EPMC9933077 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature