Department of Surgery, UC San Diego School of Medicine, San Diego, California.
Department of Surgery, UC San Diego School of Medicine, San Diego, California.
J Surg Res. 2022 Oct;278:395-403. doi: 10.1016/j.jss.2022.05.016. Epub 2022 Jun 11.
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.
由于仅依赖自愿提交病例,手术发病率和死亡率(M&M)会议常常会少报并发症。虽然大多数机构都有用于质量改进的靶向计划的数据库,但这些数据库通常不用于 M&M。我们旨在通过开发一种新系统来增加 M&M 会议的病例捕获量,该系统通过使用代表质量改进数据库和电子健康记录(EHR)中的并发症的病例来补充现有的病例提交系统。
我们开发并实施了一种新系统,通过开发定制软件来提高 M&M 会议的并发症捕获率,该软件结合了以下来源的数据:现有的 M&M 自愿病例提交系统、本地质量数据库-National Surgical Quality Improvement Program 和 Vizient 以及基于 EHR 的病例捕获工具。我们在单个中心的 32 个月期间的回顾性队列中以及系统实施后的 4 个月期间的前瞻性队列中评估了该系统。
在回顾性队列中,我们从所有数据源中确定了 433 种并发症。在 32 个月的时间里,新系统引入了 280 个新的潜在 M&M 审查病例。实施后,该系统提供了 31%的 M&M 会议上提出的病例,否则这些病例将被遗漏。
一种包括 EHR 和质量改进数据库中识别的并发症的新系统增加了手术 M&M 会议的病例捕获量,为识别补充质量改进机会提供了客观的病例推荐系统。