Article ; Online: Taking Action Against Clinician Burnout Through Reducing the Documentation Burden With an Operating Room Supply Scanning Approach.
Computers, informatics, nursing : CIN
2024 Volume 42, Issue 1, Page(s) 14–20
Abstract: Documenting surgical supply items in the operating room can be a burdensome task for circulating nurses because of manual input within the electronic medical record. This can lead to documentation fatigue and contribute to nursing burnout. The aim of ... ...
Abstract | Documenting surgical supply items in the operating room can be a burdensome task for circulating nurses because of manual input within the electronic medical record. This can lead to documentation fatigue and contribute to nursing burnout. The aim of this quality improvement project was to design and implement a supply item scanning process and evaluate the effect on intraoperative documentation completion time, room turnover time, picklist documentation accuracy, nurse satisfaction, and burnout. The sample included nine acute care hospitals throughout the United States, with 189 total circulating nurses and 31 718 procedures occurring during the study timeframe of 8 months. Results indicated that nurses were able to complete documentation on average 37.33 minutes sooner, and the operating room turnover time decreased by 1.88 minutes. Although nurses reported that their perceived picklist documentation accuracy did not improve, and the presence of new scanning technology did not influence their hospital employment decision, subjective feedback was mostly positive, with most responses citing the helpfulness of scanning for documentation. This study shows that an interdisciplinary team can effectively work to optimize documentation efficiency and performance improvement using a scanning intervention. Lessons learned through this process can translate into optimizations elsewhere in the electronic medical record. |
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MeSH term(s) | Humans ; Operating Rooms ; Electronic Health Records ; Hospitals ; Documentation ; Burnout, Psychological |
Language | English |
Publishing date | 2024-01-01 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2078463-6 |
ISSN | 1538-9774 ; 1538-2931 |
ISSN (online) | 1538-9774 |
ISSN | 1538-2931 |
DOI | 10.1097/CIN.0000000000001058 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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