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From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy
Simulation is a technique that evokes or replicates substantial aspects of the real world, in order to experiment with a simplified imitation of an operations system, for the purpose of better understanding and/or improving that system. Simulation provides a safe environment for investigating indivi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936879/ https://www.ncbi.nlm.nih.gov/pubmed/35516085 http://dx.doi.org/10.1136/bmjstel-2018-000377 |
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author | Lamé, Guillaume Simmons, Rebecca K |
author_facet | Lamé, Guillaume Simmons, Rebecca K |
author_sort | Lamé, Guillaume |
collection | PubMed |
description | Simulation is a technique that evokes or replicates substantial aspects of the real world, in order to experiment with a simplified imitation of an operations system, for the purpose of better understanding and/or improving that system. Simulation provides a safe environment for investigating individual and organisational behaviour and a risk-free testbed for new policies and procedures. Therefore, it can complement or replace direct field observations and trial-and-error approaches, which can be time consuming, costly and difficult to carry out. However, simulation has low adoption as a research and improvement tool in healthcare management and policy-making. The literature on simulation in these fields is dispersed across different disciplinary traditions and typically focuses on a single simulation method. In this article, we examine how simulation can be used to investigate, understand and improve management and policy-making in healthcare organisations. We develop the rationale for using simulation and provide an integrative overview of existing approaches, using examples of in vivo behavioural simulations involving live participants, pure in silico computer simulations and intermediate approaches (virtual simulation) where human participants interact with computer simulations of health organisations. We also discuss the combination of these approaches to organisational simulation and the evaluation of simulation-based interventions. |
format | Online Article Text |
id | pubmed-8936879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-89368792022-05-04 From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy Lamé, Guillaume Simmons, Rebecca K BMJ Simul Technol Enhanc Learn Review Simulation is a technique that evokes or replicates substantial aspects of the real world, in order to experiment with a simplified imitation of an operations system, for the purpose of better understanding and/or improving that system. Simulation provides a safe environment for investigating individual and organisational behaviour and a risk-free testbed for new policies and procedures. Therefore, it can complement or replace direct field observations and trial-and-error approaches, which can be time consuming, costly and difficult to carry out. However, simulation has low adoption as a research and improvement tool in healthcare management and policy-making. The literature on simulation in these fields is dispersed across different disciplinary traditions and typically focuses on a single simulation method. In this article, we examine how simulation can be used to investigate, understand and improve management and policy-making in healthcare organisations. We develop the rationale for using simulation and provide an integrative overview of existing approaches, using examples of in vivo behavioural simulations involving live participants, pure in silico computer simulations and intermediate approaches (virtual simulation) where human participants interact with computer simulations of health organisations. We also discuss the combination of these approaches to organisational simulation and the evaluation of simulation-based interventions. BMJ Publishing Group 2020-03-02 /pmc/articles/PMC8936879/ /pubmed/35516085 http://dx.doi.org/10.1136/bmjstel-2018-000377 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Lamé, Guillaume Simmons, Rebecca K From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
title | From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
title_full | From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
title_fullStr | From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
title_full_unstemmed | From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
title_short | From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
title_sort | from behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936879/ https://www.ncbi.nlm.nih.gov/pubmed/35516085 http://dx.doi.org/10.1136/bmjstel-2018-000377 |
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