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1992. Integrating case-mix planning and master surgery scheduling using branch-and-price
Invited abstract in session WB-10: Integrated planning in healthcare, stream OR in Health Services (ORAHS).
Wednesday, 10:30-12:00Room: 11 (building: 116)
Authors (first author is the speaker)
| 1. | Sam Bakker
|
| Business Informatics & Operations Managament, Ghent University | |
| 2. | Broos Maenhout
|
| Business Informatics and Operations Management, Ghent University |
Abstract
In this research, we study the case mix planning problem (CMPP) accounting not only for the resources in the operating room department but also the most important resources in other departments such as for example, ward beds, ICU beds, and medical staff by considering the master surgery schedule (MSS) and its implications towards the demand for care in downstream ward units. The MSS allocates operating room time (OR time) among different departments, whereas the CMPP searches for the most profitable mix of patient types. Integrating the strategic and tactical patient planning decisions will reveal the impact of capacity decisions on bed utilization on the operational level and improves decision-making. Current literature treats these two as different, yet related problems, that are solved in a sequential manner. Most works on this topic first identify the optimal mix of patient types (case mix), and then construct an MSS based on this case mix. In this study, however, we try to solve the CMPP and the MSS in an integrated manner. The integrated problem is solved using branch-and-price and is applied to a real case study in a large Belgian hospital. Computational experiments show the effectivity of the presented approach.
Keywords
- Health Care
- Programming, Mixed-Integer
- Scheduling
Status: accepted
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