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A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data.

Ziyan YinJiayi TongYong ChenRebecca A HubbardCheng Yong Tang
Published in: Journal of the American Medical Informatics Association : JAMIA (2021)
The proposed method not only optimally combines phenotypes from chart review with EHR-derived phenotypes but also suggests an efficient design for conducting chart review, with the goal of improving the efficiency of estimated risk factor associations using EHR data.
Keyphrases
  • electronic health record
  • clinical decision support
  • adverse drug
  • risk factors
  • high throughput
  • machine learning
  • artificial intelligence
  • single cell