Leveraging Real-world Data to Increase Procedure Room Capacity: A Multidisciplinary Quality Improvement Project

Rachel Feldman, Daniel Low, Irina Gorbounova, L. Ambartsumyan, Lynn D Martin
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Abstract

Introduction: In the current healthcare climate, the financial strain created by COVID-19, limited resources, and case backlogs highlight the need to optimize operating and procedure room efficiency and maximize capacity. At Seattle Children’s, a clinical multidisciplinary team developed and implemented a data-driven protocol to improve efficiency in a high-volume gastrointestinal (GI) suite. Methods: Key process measures, including all case on-time starts and postanesthesia care unit length of stay, were extracted from the electronic medical record and presented as Statistical Process Control (SPC) charts. Clinicians’ performance was stratified by rational subgrouping to better understand variation in the system. We defined an expert clinician as one who performs beyond 3-sigma limits on funnel plot analyses. We developed clinical protocols based on expert clinician clinical practices. We gave clinicians dynamic, daily feedback on this family of measures through continuously updated SPC charts. This real-world data drove system and individual-level plan-do-check-act improvement cycles. Results: Despite significant external challenges over 2 years, procedure volume increased by approximately 25%, on-time starts improved by 36%, turnover time decreased by 34%, and postanesthesia care unit length of stay decreased by 15%. GI laboratory revenue increased by approximately 25% (independent of increased charges per procedure), representing the potential for a $2 million increase in annual revenue. Conclusions: A multidisciplinary clinical team improved efficiency metrics in a busy pediatric GI suite. Access to real-world data through continuously updated SPC charts enabled plan-do-check-act cycles that led to measurable improvement. This data access also served to sustain team motivation and engagement.
利用真实世界数据增加手术室容量:一个多学科质量改进项目
简介:在当前的医疗环境下,COVID-19造成的财务压力、有限的资源和积压的病例凸显了优化手术室和手术室效率并最大限度地提高容量的必要性。在西雅图儿童医院,一个临床多学科团队开发并实施了一种数据驱动的方案,以提高大容量胃肠道(GI)套件的效率。方法:从电子病历中提取关键流程指标,包括所有病例的准时开始和麻醉后护理单位的住院时间,并以统计过程控制(SPC)图表的形式呈现。临床医生的表现通过合理的亚组分层,以更好地了解系统的变化。我们将专家临床医生定义为在漏斗图分析中执行超过3西格玛限制的人。我们根据临床专家的临床实践制定了临床方案。通过不断更新的SPC图表,我们为临床医生提供了动态的每日反馈。这些真实世界的数据驱动了系统和个人层面的计划-执行-检查-行动改进周期。结果:尽管在2年内存在显著的外部挑战,但手术量增加了约25%,准时开始改善了36%,周转时间减少了34%,麻醉后护理单位的住院时间减少了15%。GI实验室收入增加了约25%(不包括每次手术费用的增加),年收入可能增加200万美元。结论:多学科临床团队提高了繁忙的儿科GI套房的效率指标。通过不断更新的SPC图表访问实际数据,实现了计划-执行-检查-行动周期,从而实现了可衡量的改进。这种数据访问也有助于维持团队的积极性和参与度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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