A Novel System to Improve Case Capture for Surgery Morbidity and Mortality Conference
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 i...
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Veröffentlicht in: | The Journal of surgical research 2022-10, Vol.278, p.395-403 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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).
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.
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.
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. |
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ISSN: | 0022-4804 1095-8673 |
DOI: | 10.1016/j.jss.2022.05.016 |