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Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis.

Swapna AbhyankarDina Demner-FushmanFiona M CallaghanClement J McDonald
Published in: Journal of the American Medical Informatics Association : JAMIA (2014)
Combining structured EHR data with information from clinical notes using simple queries increases the utility of both types of data for cohort identification. Patients identified by more than one source are more likely to meet the inclusion criteria; however, including patients found in any of the sources increases recall. This method is attractive because it is available to researchers with access to EHR data and off-the-shelf IR tools.
Keyphrases
  • end stage renal disease
  • electronic health record
  • chronic kidney disease
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • big data
  • prognostic factors
  • healthcare
  • artificial intelligence
  • data analysis