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A three-step framework for capacity planning in a nursing home context
Nanne A Dieleman1, Martijn Buitink2, René Bekker3
1Operations Analytics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Health Systems (Basingstoke, England)
|October 20, 2023
Summary
This study introduces a framework for nursing home capacity planning, improving efficiency and reducing patient wait times. It optimizes staff scheduling to meet fluctuating care demands without exceeding resources.
Area of Science:
- Healthcare Management
- Operations Research
- Geriatric Care
Background:
- Nursing homes face challenges in balancing client-centered care with resource constraints.
- Effective capacity planning is crucial for operational efficiency and patient well-being.
Purpose of the Study:
- To present a three-step conceptual framework for structuring care-related capacity planning in nursing homes.
- To optimize client-centered care delivery without exceeding available capacity.
Main Methods:
- Developed a conceptual framework for capacity planning.
- Integrated a Mixed-Integer Linear Programming (MILP) model for shift scheduling.
- Employed a Genetic Algorithm (GA) for task scheduling.
Main Results:
- The proposed framework significantly improves efficiency and reduces waiting times compared to the current situation.
- Demonstrated the ability to achieve minimal waiting times while staying within capacity limits.
- Effectively managed fluctuating daily care demands.
Conclusions:
- The conceptual framework offers a practical approach to organizing care in nursing homes.
- The integrated scheduling models (MILP and GA) enhance operational performance.
- Achieved a balance between care quality, capacity utilization, and patient satisfaction.
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