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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.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
Immediate data entry, defined as input within five minutes, significantly reduces nursing overtime. Implementing a system for nursing directors to monitor this rate in hospitals improved efficiency, preventing increased overtime even with higher bed occupancy.
Area of Science:
- Healthcare Management
- Nursing Informatics
- Operational Efficiency
Background:
- Hospital overtime is a significant operational challenge.
- Factors influencing nursing overtime require further investigation.
- Timely data entry is a potential, yet understudied, factor in operational efficiency.
Purpose of the Study:
- To analyze the impact of immediate data entry rate on reducing nursing overtime.
- To identify key factors influencing overtime hours in a hospital setting.
- To evaluate the effectiveness of a monitoring system for immediate data entry.
Main Methods:
- Analysis of data from October 2023 to June 2024.
- Utilized analysis of variance (ANOVA) to assess statistical significance.
- Implemented and monitored a ward-specific 'immediate data entry rate' system across three hospitals.
Main Results:
- Bed occupancy rate was found to significantly increase overtime hours (P=0.0001).
- Immediate data entry rate (input within five minutes) significantly reduced overtime hours (P<0.0001).
- The implemented monitoring system successfully decoupled increased bed occupancy from increased overtime.
Conclusions:
- Immediate data entry is a critical factor in mitigating nursing overtime.
- A structured monitoring system for data entry performance can enhance hospital operational efficiency.
- Proactive management of data entry processes can lead to sustained reductions in overtime, even under high demand.
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