Abstract
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. 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. 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. 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.
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