230. Joint Optimization of Short-Term and Long-Term Home Care Services
Invited abstract in session TD-12: Scheduling in Healthcare I, stream Health Care Management.
Thursday, 14:30-16:00Room: H10
Authors (first author is the speaker)
| 1. | Asal Karimpour
|
| University of Twente | |
| 2. | Daniela Guericke
|
| Department of Industrial Engineering and Business Information Systems, University of Twente | |
| 3. | Amin Asadi
|
| Industrial Engineering & Management (IEBIS), University of Twente | |
| 4. | Erwin W. Hans
|
| Industrial Engineering & Business Information Systems, University of Twente, fac. Behavioral Management and Social Science |
Abstract
Joint Optimization of Short-Term and Long-Term Home Care Services
Asal Karimpour, Daniela Guericke, Amin Asadi, Erwin Hans
The demand for home care has increased over the past decades due to the aging population and the shift of some healthcare services from hospitals to homes. In response, home care providers must increasingly manage two types of care demand: short-term and long-term. Long-term care involves clients who require ongoing support, such as elderly patients with their activities of daily living. Here, the continuity of care (in this context, avoiding frequent nurse changes) is crucial to ensure client and nurse satisfaction. On the other hand, short-term care refers to temporary needs that last several weeks (e.g., follow-up on wound treatments of patients discharged from the hospital after surgery), where continuity of care is less critical.
Our research addresses the complexity and potential conflicting objectives that arise from the integration of short-term and long-term care in nurse scheduling and client visit assignments. We propose a mixed-integer linear program that captures the mix of care types and investigates whether assigning dedicated nurses to short-term care is beneficial in terms of efficiency and continuity of care, or if a mixture of care types should be handled by a team of nurses. The model includes shift scheduling requirements based on working regulations such as working hours, break times, and nurse availability as well as client requirements. We present preliminary results based on realistic data from a home care organization.
Keywords
- Health Care
- Scheduling
Status: accepted
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