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Анализ соотношения штатной численности×Модель занятости больничных коек×
ОбластьУправление здравоохранениемУправление здравоохранением
СемействоProcess / pipelineProcess / pipeline
Год появления19902000
Автор методаHealthcare operations and nursing researchHealthcare operations researchers
ТипQuantitative workforce planning methodologyStochastic simulation and time-series forecasting
Основополагающий источникAiken, 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 ↗
Другие названияStaffing Model, Nursing Ratio AnalysisBed Occupancy Forecasting, Hospital Census Prediction
Связанные55
СводкаStaffing 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.
ScholarGateНабор данных
  1. v1
  2. 3 Источники
  3. PUBLISHED
  1. v1
  2. 3 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Staffing Ratio Analysis · Hospital Bed Occupancy Model. Получено 2026-06-19 из https://scholargate.app/ru/compare