Optimizing Hospital On-Call Scheduling Across Multiple Sites: A Collaborative Metaheuristic Approach...20th World Congress on Medical and Health Informatics (MEDINFO), August 9-13, 2025, Taipei, Taiwan
Medical staff scheduling is a complex challenge with significant implications for patient care and staff well-being. This study presents an innovative approach that combines multiple optimization algorithms working collaboratively in a multi-agent system (MAS) to address shift allocation. By integra...
| Publicado en: | Studies in Health Technology & Informatics Vol. 329; pp. 886 - 891 |
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| Autores principales: | , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2025
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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=187334985&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187334985 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2025 vid: 329 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 187334985 187334985 187334985 10.3233/SHTI250967 187334985 ppf: 886 ppct: 5 formats: tig: atl: Optimizing Hospital On-Call Scheduling Across Multiple Sites: A Collaborative Metaheuristic Approach...20th World Congress on Medical and Health Informatics (MEDINFO), August 9-13, 2025, Taipei, Taiwan aug: au: AJMI, Faiza BEN OTHMAN, Sarah RENARD, Jean-Marie ZGAYA, Hayfa HAMMADI, Slim affil: ICL, Junia, Université Catholique de Lille, LITL, F-59000 Lille, France sug: subj: Personnel, Health Facility Psychosocial Factors Personnel Staffing and Scheduling Diffusion of Innovation Algorithms Collaboration Decision Support Systems, Management Congresses and Conferences Taiwan Taiwan Patient Care Occupational Health Psychological Well-Being Shiftwork Attitude of Health Personnel Workload Respect Interprofessional Relations Intraprofessional Relations Conceptual Framework Automation Emergency Service Administration ab: Medical staff scheduling is a complex challenge with significant implications for patient care and staff well-being. This study presents an innovative approach that combines multiple optimization algorithms working collaboratively in a multi-agent system (MAS) to address shift allocation. By integrating these algorithms, the method ensures fair distribution, optimizes staff preferences, and minimizes constraint violations, effectively balancing workload and respecting individual requests. Tested on both simulated and real-world data, the solution demonstrates enhanced scheduling efficiency and adaptability particularly using heuristics for managing multiple schedules. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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