Automated generation of comparator patients in the electronic medical record.

Joseph Rigdon Brian OstasiewskiKamah WoelfelKimberly D WisemanTim HetheringtonStephen DownsMarc Kowalkowski

Published in: Learning health systems (2023)

EMR-derived matching is feasible to implement across a diverse patient population and can provide a reproducible, efficient source of comparator data for observational studies, with additional testing in clinical research applications needed.

Keyphrases

end stage renal disease
ejection fraction
chronic kidney disease
machine learning
case report
high throughput
electronic health record
deep learning
big data
patient reported