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A Review of Hybrid Simulation in Healthcare

Dos Santos, Vivianne Horsti, Kotiadis, Kathy, Scaparra, Maria Paola (2020) A Review of Hybrid Simulation in Healthcare. In: Bae, K.H. and Feng, B. and Kim, S. and Lazarova-Molnar, S. and Zheng, Z. and Roeder, T. and Thiesing, R., eds. Proceedings - Winter Simulation Conference. Proceedings of the 2020 Winter Simulation Conference. . pp. 1004-1015. IEEE ISBN 978-1-72819-500-1. E-ISBN 978-1-72819-499-8. (doi:10.1109/WSC48552.2020.9383913) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91528)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/WSC48552.2020.9383913

Abstract

Hybrid Simulation (HS) has been applied to healthcare systems, but there is still limited literature and an opportunity to develop research. This review explores applications of HS in healthcare, to outline research gaps and foster new research in HS to solve complex real healthcare problems. The twelve application papers found through a systematic literature search covered nearly all hybrid combinations. Discrete Event (DES) and System Dynamics (SD) were found to be the most popular combination, and AnyLogic, the most used HS tool. We found that none of the papers we reviewed used the SD-ABS approach, which raises questions about the need and challenges associated with certain combinations. HS in healthcare applications, for the most part, are published in conference proceedings. We discuss opportunities for research and, in particular, the potential for HS application in problems related to communicable disease and healthcare services planning.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/WSC48552.2020.9383913
Subjects: T Technology
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Kathy Kotiadis
Date Deposited: 11 Nov 2021 20:23 UTC
Last Modified: 16 Nov 2021 09:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91528 (The current URI for this page, for reference purposes)
Kotiadis, Kathy: https://orcid.org/0000-0001-8004-5708
Scaparra, Maria Paola: https://orcid.org/0000-0002-2725-5439
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