An Electronic Health Record-integrated Web Application Augments a QI-directed Morbidity & Mortality Conference and Improves Quality of Care.
Journal of pediatric surgery(2024)
摘要
Background: In 2014, we developed a QI-directed Morbidity and Mortality (M&M) Conference, prioritizing discussion of individual and system failures, as well as development of action items to prevent failure recurrence. However, due to a reliance on individual electronic documents to store M&M data, our ability to assess trends in failures and action item implementation was hindered. To address this issue, in 2019, we created a secure electronic health record (EHR)-integrated web application (web app) to store M&M data. Study design: In this study, we assessed the impact of our web app on ef ficient review and tracking of M&M data, including system failure occurrence and closure of action items. Additionally, in 2021, it was discovered that a backlog of action items existed. To address this issue, we implemented a QI initiative to reduce the backlog, and used the web app to compare action item closure over time. Results: Use of the web app dramatically improved review of M&M data. During the study period, there was a 67.0% reduction in the occurrence of the most common system failures. Additionally, our QI initiative resulted in a 97.7% reduction in the duration of time to complete a single action item and a 61.1% increase in the on -time closure rate for action items. Conclusions: Integration of a web app into a QI-directed M&M Conference enhanced our ability to track system level failures and action item closure over time. Using this web app, we demonstrated that our M&M Conference achieved its intended goal of improving the quality of patient care. Level of Evidence: IV. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
更多查看译文
关键词
Morbidity and Mortality,M&,Quality improvement,QI,Information Technology,System failure
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要