57. Simulation-based optimization for solid organ transplantation management
Contributed abstract in session TC-1: Poster session, stream Posters.
Tuesday, 14:00-15:30Room: Auditorium
Authors (first author is the speaker)
| 1. | Arianna Freda
|
| Università degli Studi Roma Tre | |
| 2. | Gaia Nicosia
|
| Università Roma Tre | |
| 3. | Maurizio Naldi
|
| GEPLI, LUMSA University | |
| 4. | Andrea Pacifici
|
| Dip. di Ingegneria Civile e Ingegneria Informatica, Università di Roma Tor Vergata |
Abstract
Organ transplantation significantly improves both life quality and longevity by replacing damaged organs. However, timely management of donors is crucial to prevent organ degradation. This work introduces a comprehensive approach to address these challenges. Initially, using real-world data---obtained from a number of successful solid organ transplant cases in the Lazio Region in Italy, in the years 2022 and 2023---we develop probability models for various activities, with a particular focus on the time required to obtain consent for organ donation, which is an essential step in the process. Moreover, we employ a UML activity diagram and Monte Carlo simulation to model the whole process from Donor’s Brain Death Assessment to Organ Harvesting and evaluate its duration. Subsequently, we conduct multiple simulations to explore alternative procedures aimed at optimizing cost-performance trade-offs. Perturbations such as rearranging test sequences are investigated for their potential to achieve significant time reductions, though with potential cost implications if consent is not obtained. Our findings underscore the importance of efficient donor management strategies in organ transplantation and highlight ways for improving process efficiency while balancing associated costs.
Keywords
- Modelling and simulation
- Process optimisation
- Cost effectiveness and health economics
Status: accepted
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