191. Operational planning for advanced home hospitals
Contributed abstract in session FA-4: Home Care /2, stream Regular talks.
Friday, 9:20-10:30Room: Room S3
Authors (first author is the speaker)
| 1. | Henrik Andersson
|
| Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology | |
| 2. | Anders N. Gullhav
|
| Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology | |
| 3. | Hilvi Fjose
|
| Norwegian University of Science and Technology | |
| 4. | Guro Larsen
|
| Norwegian University of Science and Technology | |
| 5. | Agnes Oftung Strandbu
|
| Norwegian University of Science and Technology |
Abstract
Norway’s first Advanced Home Hospital (AHH) was established at Ullevål University Hospital in 2008. AHH aims to enhance the resource allocation at the hospital, as well as facilitate a lifestyle for patients that is as normal as possible, despite being hospitalized.
The AHHs are currently operating on a small scale, with the process of routing and scheduling being performed manually according to each patient’s diagnosis and preferences. The manual process requires that the person responsible for planning oversees a limited number of patients, ensuring that they are well acquainted with each patient and their medical condition.
This work is part of the OUS at Home Project, which aims to leverage technology to allow home-based treatment for patients where it is beneficial. By 2030, the goal is to provide 30% of patients with home treatment and follow-up. This requires decision support for logistical planning and analysis of the necessary capacity for efficient and medically responsible home care. We examine logistical and efficiency challenges in AHH through an optimization model at an operational level.
In this presentation, we discuss the problem and a mathematical formulation of it. We also present an adaptive large neighborhood search algorithm for solving large instance. Finally, computational results on representative cases, reflections and insights will be given.
Keywords
- Healthcare logistics
- Home care and Long Term Care
Status: accepted
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