Developing and verifying an artificial twin of the organ procurement and transplant process: A systems approach
John Rosendale,
Gabe Vece,
Kelsi Lindblad,
Craig Jordan,
Morgan Stuart,
Alex Nielsen,
Beth Kalman and
Saikou Diallo
Journal of Simulation, 2024, vol. 18, issue 1, 65-87
Abstract:
The practice of deceased-donor solid-organ transplantation is unique among clinical therapies because it substantially benefits recipients, The allocation process is a complex System-of-Systems (SoS) with multiple stakeholders, components, rules, and policies. While we model and simulate such SoS, they are challenging to verify and validate thoroughly due to a large number of use cases and the sensitivity to initial conditions. Furthermore, subject matter experts within communities of practice do not trust such models because they are difficult to explain. This paper proposes a trust-centric approach to validation focusing on experimentally exploring the simulation’s behavior space and demonstrating its utility to a community of experts. We describe a three-step validation process to show how modelling and simulation professionals can foster trust in simulations of a complex SoS. We apply the framework to verify and validate a simulation model of the Kidney–Pancreas (KP) allocation process within the United States.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2022.2062262 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:18:y:2024:i:1:p:65-87
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1080/17477778.2022.2062262
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().