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一种改进手术并发症和死亡率会议病例采集的新系统。

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

机构信息

Department of Surgery, UC San Diego School of Medicine, San Diego, California.

Department of Surgery, UC San Diego School of Medicine, San Diego, California.

出版信息

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

DOI:10.1016/j.jss.2022.05.016
PMID:35700668
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.

摘要

简介

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。

方法

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。

结果

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。

结论

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。

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