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Hospital Management Systems Demonstration: Final Report; Appendix K. Determination of Maximum Occupancy for Small Hospital Units
A hospital can operate at minimum cost if its bed complement is of the proper size. The problem is one of minimizing the number of beds in order to control costs, while still providing enough beds to appropriately handle the patient demand. An overbedded hospital not only incurs excess operating costs, but also must finance the estimated $50,000 per bed in construction costs. An underbedded hospital faces among others the problems of overcrowding, large numbers of patient turnaways and cancellations, and loss of goodwill. The purpose of this paper is to introduce a new method of determining this optimal number of beds for a hospital or for a unit within a hospital, given appropriate information concerning the patient demand.
Hospital Management Systems Demonstration: Final Report; Appendix K. Determination of Maximum Occupancy for Small Hospital Units
A hospital can operate at minimum cost if its bed complement is of the proper size. The problem is one of minimizing the number of beds in order to control costs, while still providing enough beds to appropriately handle the patient demand. An overbedded hospital not only incurs excess operating costs, but also must finance the estimated $50,000 per bed in construction costs. An underbedded hospital faces among others the problems of overcrowding, large numbers of patient turnaways and cancellations, and loss of goodwill. The purpose of this paper is to introduce a new method of determining this optimal number of beds for a hospital or for a unit within a hospital, given appropriate information concerning the patient demand.
Hospital Management Systems Demonstration: Final Report; Appendix K. Determination of Maximum Occupancy for Small Hospital Units
J. R. Griffith (author) / W. M. Hancock (author)
1977
35 pages
Report
No indication
English
Data & Information Systems , Health Care Delivery Organization & Administration , Personnel Management, Labor Relations & Manpower , Hospitals , Management information systems , Systems engineering , Hospital administration , Patients , Methodology , Scheduling , Computerized simulation , Control equipment , Occupancy rate , Bed needs , Admission(Health care facilities) , Hospital information systems