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
newly diagnosed
machine learning
prognostic factors
peritoneal dialysis
case report
patient reported outcomes
big data