Automating Surgical Quality Data Shows High Accuracy

Using electronic health record (EHR) data for surgical quality improvement matches manual abstraction accuracy, easing the burden on resources.

  • Strong agreement for race and ethnicity variables (kappa = 98.1%).
  • Preoperative risk factors show lower agreement (median kappa = 28.6%), indicating caution in reliance on EHR for this domain.

This shift could streamline data collection, enhancing surgical outcomes monitoring.

  • Postoperative complications had a median kappa of only 15.1%, highlighting areas needing manual review.

Journal Article by Galloway JL, Chen VW (…) Massarweh NN et 4 al. in J Surg Res

Published by Elsevier Inc.

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