Research on Nurse Scheduling Considering Fairness Preference and Fatigue Risk under Hierarchical Management System

The high-pressure and high-load work environments increase the risk of nurse fatigue, thereby affecting patient safety, quality of care services, and nurse health. This study examines the nurse scheduling issue within hierarchical systems, taking into consideration fairness preferences and fatigue risks. By integrating a fatigue model based on circadian rhythms and assessing risks from soft constraint violations, the strategy first ensures scheduling equity and then employs a metaheuristic algorithm to identify optimal solutions. Case studies illustrate that this approach promotes fairness among nurses at different levels and reduces fatigue risks. This research provides valuable guidance on managing fatigue risks and improving care quality, patient safety, and nurse welfare.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857014
Primary Topic
Scheduling and Timetabling Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Nurse Scheduling Considering Fairness Preference and Fatigue Risk under Hierarchical Management System

Po-Chou Shih, Yang Xu, Li Huang
Scheduling and Timetabling Solutions
article

Research on Nurse Scheduling Considering Fairness Preference and Fatigue Risk under Hierarchical Management System

Po-Chou Shih, Yang Xu, Li Huang
article en

Abstract

The high-pressure and high-load work environments increase the risk of nurse fatigue, thereby affecting patient safety, quality of care services, and nurse health. This study examines the nurse scheduling issue within hierarchical systems, taking into consideration fairness preferences and fatigue risks. By integrating a fatigue model based on circadian rhythms and assessing risks from soft constraint violations, the strategy first ensures scheduling equity and then employs a metaheuristic algorithm to identify optimal solutions. Case studies illustrate that this approach promotes fairness among nurses at different levels and reduces fatigue risks. This research provides valuable guidance on managing fatigue risks and improving care quality, patient safety, and nurse welfare.

Panzhihua University (CN), National Yunlin University of Science and Technology (TW)
National Science and Technology Council, HORIZON EUROPE Health
Zero hunger
Openalex Percentile: Top 67%
Scheduling and Timetabling Solutions
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