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Algorithm for Forecasting the Number of Hospital Beds by Specialty Using Regression Equations
Heinz Vajasdi1, Nona Delia Chiriac1, Dana Galieta Minca1
1"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
This study developed an algorithm to optimize hospital bed planning based on local population needs and morbidity data. The validated model accurately forecasts specialty ward bed numbers for new or existing hospitals.
Area of Science:
- Health Services Research
- Hospital Administration
- Public Health Policy
Background:
- Effective hospital bed planning is crucial for meeting population health demands.
- Current methods may not adequately account for local demographic and morbidity variations.
- Optimizing bed allocation ensures efficient resource utilization and patient care.
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