218. Fairness and efficiency, can we achieve both? A case study in training of vascular surgery trainees
Invited abstract in session TA-1: Surgery scheduling 1, stream Sessions.
Tuesday, 9:00-10:30Room: NTNU, Realfagbygget R5
Authors (first author is the speaker)
| 1. | Alice Daldossi
|
| Dipartimento di Informatica, Università degli Studi di Torino | |
| 2. | Viola Clerici
|
| University of Twente | |
| 3. | Roberto Aringhieri
|
| Dipartimento di Informatica, Università degli Studi di Torino | |
| 4. | Erwin W. Hans
|
| Industrial Engineering & Business Information Systems, University of Twente, fac. Behavioral Management and Social Science |
Abstract
Operating room planning and scheduling covers a wide range of organisational challenges, from the strategic to the operational level. In recent years there has been an increased focus on integration with upstream and downstream resources. Such an integration determined more challenging optimisation problems.
To the best of our knowledge, the training of junior doctors (junior residents, trainees, etc.) is not yet considered in the healthcare management literature. As a matter of fact, residents must follow a structured learning path that lasts for years, beginning with simpler procedures and gradually progressing to more complex ones as they gain experience. Ensuring a fair and balanced training opportunity for all trainees is essential. Additionally, senior residents require regular practice to maintain their technical skills, as long breaks can negatively affect their performance.
In this talk, we address an advanced scheduling problem that integrates the assignment of trainees to scheduled surgeries, aiming to guarantee a fair training opportunities over the considered time periods (typically months). Validation is based on data from the vascular surgery unit at Città della Salute e della Scienza Hospital (Molinette), Turin, collected between 2020 and 2023.
Keywords
- Patient scheduling
- Decision support
- Optimization algorithms
Status: accepted
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