Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses.
J Med Syst
; 48(1): 75, 2024 Aug 12.
Article
de En
| MEDLINE
| ID: mdl-39133348
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.
Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Affectation du personnel et organisation du temps de travail
/
Satisfaction professionnelle
Limites:
Humans
Langue:
En
Journal:
J Med Syst
Année:
2024
Type de document:
Article
Pays d'affiliation:
Taïwan