Design and validation of a FHIR-based EHR-driven phenotyping toolbox.

Pascal S Brandt Jennifer Allen PachecoPrakash AdekkanattuEvan T SholleSajjad AbedianDaniel J StoneDavid M KnaackJie XuZhenxing XuYifan Peng Natalie C BendaFei WangYuan LuoGuoqian JiangJyotishman PathakLuke V Rasmussen

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

We demonstrate that the PhEMA Workbench can facilitate EHR-driven phenotype definition, execution, and phenotype sharing in heterogeneous clinical research data environments. A phenotype definition that integrates with existing standards-compliant systems, and the use of a formal representation facilitates automation and can decrease potential for human error.

Keyphrases

electronic health record
endothelial cells
social media
high throughput
healthcare
induced pluripotent stem cells
health information
risk assessment
data analysis
neural network