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A decision support system for bed-occupancy management and planning hospitals
1Division of Mathematics, School of Information and Software Engineering, University of Ulster, Belfast, UK.
IMA Journal of Mathematics Applied in Medicine and Biology
|September 1, 1995
Summary
This study introduces a bed-occupancy-modelling package to improve hospital resource management. The software analyzes patient data to optimize bed allocation and enhance operational efficiency.
Area of Science:
- Healthcare Management
- Operations Research
- Mathematical Modeling
Background:
- Hospital service planning requires accurate data for efficient resource allocation.
- Bed occupancy patterns are crucial for assessing hospital performance and improving management.
- Existing methods may lack the granularity to differentiate patient stay types.
Purpose of the Study:
- To develop a mathematical modelling package for analyzing hospital bed occupancy.
- To differentiate bed occupancy into acute, rehabilitative, and long-stay components.
- To provide a tool for effective hospital resource management and planning.
Main Methods:
- Development of a bed-occupancy-modelling package using a mixed exponential mathematical model.
- Analysis of patient administrative data, segmented using a query-by-example function.
- Application of the model to diverse hospital specialties and services.
Main Results:
- Successful separation of bed occupancy patterns into acute, rehabilitative, and long-stay components.
- Demonstrated utility across various hospital specialties.
- Implementation of a 'what-if' capability for predictive planning.
Conclusions:
- The developed package effectively models hospital bed occupancy, differentiating patient stay types.
- This tool enhances hospital bed management, resource utilization, and strategic planning.
- The software provides valuable insights for optimizing healthcare service delivery.