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Reduction in Nursing Overtime Through Application of Process Pathways to All Inpatients and Monitoring of Immediate
Satoko Tsuru1, Tetsuro Tamamoto2, Akihiro Nakao3
1The University of Tokyo.
Abstract:
Data from October 2023 to June 2024 was used to analyze the effect of the immediate data entry rate on reducing overtime. Bed occupancy rate, number of surgeries, and immediate data entry rate were identified as key factors significantly influencing overtime hours. Analysis of variance revealed that bed occupancy rate significantly increased overtime hours (P=0.0001), while immediate data entry rate significantly reduced overtime hours (P<0.0001). We established a system where nursing directors monitored ward-specific 'immediate data entry rate (input rate within five minutes)' during the initial implementation phase, with the cooperation of three hospitals. Consequently, several months after implementation, a situation was established where increased bed occupancy rates did not lead to increased overtime hours.
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