178. Operating Room allocation Scheduling under Human Resources
Contributed abstract in session TB-5: Healthcare Management /1, stream Regular talks.
Tuesday, 11:00-12:30Room: Room S6
Authors (first author is the speaker)
| 1. | Christine Di Martinelly
|
| Management, IESEG School of Management, Univ. Lille, CNRS, UMR 9221 - LEM - Lille Economie Management | |
| 2. | Xiajie Yi
|
| IESEG School of Management |
Abstract
Effective Operating Room (OR) scheduling holds significant financial implications for hospitals, particularly when dealing with inpatient procedures at the operational level. However, the duration of a surgery is often uncertain, and it is rather challenging to accurately predict. Estimates can vary significantly across different departments, leading to various extents of underestimations. As a result, it exacerbates nurse shortage issue in hospitals. To address this, we propose an approach to build robust surgery schedules in an OR theatre made of several rooms with different specialties and sharing nurses. Our method utilizes a two-stage stochastic optimization model. In the first stage, we determine the number of nurses working each day, while the second stage focuses on creating the detailed schedule. Additionally, we adopt the sampling average approximation (SAA) technique to address uncertainties in surgery duration. Based on the samples generated from real-life data, the simulation results imply that i) the surgery schedule could be fully scheduled with fewer number of nurses; ii) the nurse shortage/absence issue can be potentially avoided as we can accommodate uncertain duration better.
Keywords
- Healthcare management
- Operating room planning and scheduling
- Optimization algorithms
Status: accepted
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