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Taking Action Against Clinician Burnout Through Reducing the Documentation Burden With an Operating Room Supply
Robert Abda1, Gail Pietrzyk, Paul Wesley Scott
1Author Affiliations: University of Pittsburgh School of Nursing, Pittsburgh, PA (Drs Abda, Scott, and Fennimore); and Universal Health Services Inc., King of Prussia, PA (Dr Pietrzyk).
Implementing a surgical supply scanning process significantly reduced operating room documentation time by nearly 40 minutes and decreased room turnover time. This quality improvement initiative highlights the benefits of technology in reducing nurse burnout and improving efficiency.
Area of Science:
- Healthcare Management
- Nursing Informatics
- Surgical Operations
Background:
- Manual documentation of surgical supplies in the operating room (OR) is time-consuming for circulating nurses.
- This manual process contributes to documentation fatigue, potentially leading to nursing burnout.
- Inefficient documentation impacts overall operating room workflow and efficiency.
Purpose of the Study:
- To design and implement a supply item scanning process in the OR.
- To evaluate the impact of this scanning intervention on key performance metrics.
- To assess effects on documentation completion time, room turnover, accuracy, nurse satisfaction, and burnout.
Main Methods:
- A quality improvement project involving nine acute care hospitals across the US.
- Implementation of a supply item scanning process for intraoperative documentation.
- Data collected from 189 circulating nurses over 31,718 procedures during an 8-month period.
Main Results:
- Average intraoperative documentation completion time decreased by 37.33 minutes.
- Operating room turnover time was reduced by an average of 1.88 minutes.
- While perceived picklist accuracy did not improve, subjective feedback on scanning usefulness was positive.
Conclusions:
- A scanning intervention can significantly optimize surgical supply documentation efficiency.
- This process improvement reduces nursing workload and operating room turnover times.
- Interdisciplinary collaboration is key to successful implementation and potential for broader EMR optimization.
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