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Analyse des ratios de personnel×Modèles d'occupation des lits d'hôpital×
DomaineGestion des soins de santéGestion des soins de santé
FamilleProcess / pipelineProcess / pipeline
Année d'origine19902000
Auteur d'origineHealthcare operations and nursing researchHealthcare operations researchers
TypeQuantitative workforce planning methodologyStochastic simulation and time-series forecasting
Source fondatriceAiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J., & Silber, J. H. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987–1993. DOI ↗Tikk, D., Kóczy, L. T., & Gedeon, T. D. (2003). A survey on fuzzy relational equations and their applications in web intelligence. In W. Pedrycz (Ed.), Handbook of Granular Computing (pp. 521–542). John Wiley & Sons. link ↗
AliasStaffing Model, Nursing Ratio AnalysisBed Occupancy Forecasting, Hospital Census Prediction
Apparentées55
RésuméStaffing Ratio Analysis is a systematic method for determining appropriate healthcare worker levels (nurses, physicians, technicians) based on patient volume, acuity, and task requirements. Research shows that staffing levels directly impact patient safety, quality, and staff burnout; systematic analysis supports evidence-based workforce planning.Hospital bed occupancy models forecast the number of occupied beds at future times by analyzing admission patterns, length of stay distributions, and discharge dynamics. These models support tactical decisions about staffing, supply chain management, and strategic decisions about capacity expansion.
ScholarGateJeu de données
  1. v1
  2. 3 Sources
  3. PUBLISHED
  1. v1
  2. 3 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Staffing Ratio Analysis · Hospital Bed Occupancy Model. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare