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Application of Portfolio Theory to Healthcare Capacity Management
Carina Fagefors1,2, Björn Lantz2,3
1Department of Pediatric Anesthesiology, Intensive Care and Neonatology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
International Journal of Environmental Research and Public Health
|January 20, 2021
Summary
Applying portfolio theory
Area of Science:
- Healthcare Management
- Operations Research
- Health Services Research
Background:
- Global healthcare systems face rising demand and limited capacity, leading to long patient wait times.
- Improving healthcare access requires optimizing resource utilization and efficiency.
- Managing system variations is crucial for effective healthcare delivery.
Purpose of the Study:
- To investigate the application of mean-variance methodology from portfolio theory as a capacity pooling approach in healthcare.
- To demonstrate how capacity pooling can enhance healthcare system efficiency and patient access.
- To explore the theoretical dimensioning of efficient pooling organizations.
Main Methods:
- Utilized basic mean-variance methodology from portfolio theory.
- Developed a numerical example with fictitious data to illustrate the capacity pooling concept.
- Applied theoretical analysis to healthcare system capacity management.
Main Results:
- Identified opportunities for more efficient capacity utilization within healthcare systems.
- Demonstrated the potential to increase service levels with existing capacity.
- Showcased that mean-variance analysis can theoretically guide the optimal organization of pooling.
Conclusions:
- Portfolio theory offers a viable framework for capacity pooling in healthcare.
- Implementing capacity pooling can lead to improved healthcare efficiency and patient outcomes.
- Further discussion is needed on the practical implementation of this methodology in healthcare settings.
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