Characterizing variability of electronic health record-driven phenotype definitions.
Pascal S BrandtAbel KhoYuan LuoJennifer Allen PachecoTheresa L WalunasHakon H HakonarsonGeorge HripcsakCong LiuNing ShangChunhua WengNephi WaltonDavid S CarrellPaul K CraneEric B LarsonChristopher G ChuteIftikhar J KulloRobert CarrollJosh DennyAndrea RamirezWei-Qi WeiJyoti PathakLaura K WileyRachel RichessonJustin B StarrenLuke V RasmussenPublished in: Journal of the American Medical Informatics Association : JAMIA (2022)
The phenotype definitions analyzed show significant variation in specific logical, arithmetic, and other operators but are all composed of the same high-level components, namely tabular data and logical expressions. A standard representation for phenotype definitions should support these formats and be modular to support localization and shared logic.