Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses.
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 servi...
| Publicado en: | Journal of Medical Systems Vol. 48; no. 1; pp. 1 - 22 |
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| Autores principales: | , , , |
| Formato: | algorithm case study equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
8/12/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179605613&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179605613 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 8/12/2024 vid: 48 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179605613 179605613 179605613 10.1007/s10916-024-02092-w 179605613 ppf: 1 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses. aug: au: Tsao, Yu-Chung Chen, Danny Hwang, Feng-Jang Linh, Vu Thuy affil: https://ror.org/00q09pe49 Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan sug: subj: Personnel Staffing and Scheduling Clinical Nurse Specialists Nursing Shortage Workload Life Style Nurse Attitudes Shiftwork Human Job Satisfaction Professional Regulation Quality of Nursing Care Decision Making Conceptual Framework Algorithms Descriptive Statistics Funding Source ab: 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. pubtype: Academic Journal doctype: algorithm case study equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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