Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language.

Pascal S BrandtRichard C KieferJennifer A PachecoPrakash AdekkanattuEvan T SholleFaraz S AhmadJie XuZhenxing XuJessica S AnckerFei WangYuan LuoGuoqian JiangJyotishman PathakLuke V Rasmussen

Published in: Learning health systems (2020)

CQL supports the representation of arbitrarily complex phenotype definitions, and our execution engine implementation demonstrated cross-platform execution against two widely used clinical data platforms. The language thus has the potential to help address current limitations with portability in EHR-driven phenotyping and scale in learning health systems.

Keyphrases

electronic health record
high throughput
clinical decision support
autism spectrum disorder
primary care
healthcare
adverse drug
quality improvement
machine learning
single cell