A Novel System to Improve Case Capture for Surgery Morbidity and Mortality Conference

J Surg Res. 2022 Oct:278:395-403. doi: 10.1016/j.jss.2022.05.016. Epub 2022 Jun 11.

Abstract

Introduction: Complications are often under-reported at surgical morbidity and mortality (M&M) conferences due to the sole reliance on voluntary case submission. While most institutions have databases used for targeted initiatives in quality improvement, these are not routinely used for M&M. We aimed to increase case capture for M&M conferences by developing a novel system that augments the existing case submission system with cases representing complications from quality improvement databases and the electronic health record (EHR).

Methods: We developed and implemented a novel system for increasing the capture rate of complications for M&M conferences by developing custom software that combines data from the following sources: an existing voluntary case submission system for M&M, local quality databases-National Surgical Quality Improvement Program and Vizient, and an EHR-based case capture tool. We evaluated this system on a retrospective cohort of all postoperative complications at a single center in a 32-mo period and in a prospective cohort over a 4-mo period after system implementation.

Results: In the retrospective cohort, we identified 433 complications among all data sources. Inclusion of the new system introduced 280 new potential cases for M&M review over the 32-mo period. After implementation, the system provided 31% of cases presented at M&M conference that would have otherwise been omitted.

Conclusions: A novel system that includes complications identified in the EHR and quality improvement databases increased the case capture volume for surgical M&M conference, which provides an objective case referral system that can identify complementary quality improvement opportunities.

Keywords: Case capture; Complications; Education; Electronic health record; Mortality conference; Quality improvement; Surgery morbidity.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Humans
  • Morbidity
  • Mortality
  • Postoperative Complications* / epidemiology
  • Postoperative Complications* / etiology
  • Prospective Studies
  • Quality Improvement*
  • Retrospective Studies