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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
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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.

Keywords:
Nursing homescapacity planning frameworkclient-centred caregenetic algorithmmixed integer linear programming

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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.