We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses.
- Authors
Tsao, Yu-Chung; Chen, Danny; Hwang, Feng-Jang; Linh, Vu Thuy
- Abstract
The nurse scheduling problem (NSP) has been a crucial and challenging research issue for hospitals, especially considering the serious deterioration in nursing shortages in recent years owing to long working hours, considerable work pressure, and irregular lifestyle, which are important in the service industry. This study investigates the NSP that aims to maximize nurse satisfaction with the generated schedule subject to government laws, internal regulations of hospitals, doctor-nurse pairing rules, shift and day off preferences of nurses, etc. The computational experiment results show that our proposed hybrid metaheuristic outperforms other metaheuristics and manual scheduling in terms of both computation time and solution quality. The presented solution procedure is implemented in a real-world clinic, which is used as a case study. The developed scheduling technique reduced the time spent on scheduling by 93% and increased the satisfaction of the schedule by 21%, which further enhanced the operating efficiency and service quality.
- Subjects
NURSE supply &; demand; LIFESTYLES; MEDICAL quality control; RESEARCH funding; NURSING; DECISION making; DESCRIPTIVE statistics; WORKING hours; NURSE practitioners; JOB satisfaction; NURSES' attitudes; CONCEPTUAL structures; PROFESSIONAL standards; EMPLOYEES' workload; SHIFT systems; ALGORITHMS
- Publication
Journal of Medical Systems, 2024, Vol 48, Issue 1, p1
- ISSN
0148-5598
- Publication type
Article
- DOI
10.1007/s10916-024-02092-w