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A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care
This article describes a framework that has been developed to monetize the real value of simulation-based training in health care. A significant consideration has been given to the incorporation of the intangible and qualitative benefits, not only the tangible and quantitative benefits of simulation...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798742/ https://www.ncbi.nlm.nih.gov/pubmed/28133988 http://dx.doi.org/10.1177/0046958016687176 |
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author | Bukhari, Hatim Andreatta, Pamela Goldiez, Brian Rabelo, Luis |
author_facet | Bukhari, Hatim Andreatta, Pamela Goldiez, Brian Rabelo, Luis |
author_sort | Bukhari, Hatim |
collection | PubMed |
description | This article describes a framework that has been developed to monetize the real value of simulation-based training in health care. A significant consideration has been given to the incorporation of the intangible and qualitative benefits, not only the tangible and quantitative benefits of simulation-based training in health care. The framework builds from three works: the value measurement methodology (VMM) used by several departments of the US Government, a methodology documented in several books by Dr Jack Phillips to monetize various training approaches, and a traditional return on investment methodology put forth by Frost and Sullivan, and Immersion Medical. All 3 source materials were adapted to create an integrated methodology that can be readily implemented. This article presents details on each of these methods and how they can be integrated and presents a framework that integrates the previous methods. In addition to that, it describes the concept and the application of the developed framework. As a test of the applicability of the framework, a real case study has been used to demonstrate the application of the framework. This case study provides real data related to the correlation between the pediatric patient cardiopulmonary arrest (CPA) survival rates and a simulation-based mock codes at the University of Michigan tertiary care academic medical center. It is important to point out that the proposed framework offers the capability to consider a wide range of benefits and values, but on the other hand, there are several limitations that has been discussed and need to be taken in consideration. |
format | Online Article Text |
id | pubmed-5798742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-57987422018-02-12 A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care Bukhari, Hatim Andreatta, Pamela Goldiez, Brian Rabelo, Luis Inquiry Article This article describes a framework that has been developed to monetize the real value of simulation-based training in health care. A significant consideration has been given to the incorporation of the intangible and qualitative benefits, not only the tangible and quantitative benefits of simulation-based training in health care. The framework builds from three works: the value measurement methodology (VMM) used by several departments of the US Government, a methodology documented in several books by Dr Jack Phillips to monetize various training approaches, and a traditional return on investment methodology put forth by Frost and Sullivan, and Immersion Medical. All 3 source materials were adapted to create an integrated methodology that can be readily implemented. This article presents details on each of these methods and how they can be integrated and presents a framework that integrates the previous methods. In addition to that, it describes the concept and the application of the developed framework. As a test of the applicability of the framework, a real case study has been used to demonstrate the application of the framework. This case study provides real data related to the correlation between the pediatric patient cardiopulmonary arrest (CPA) survival rates and a simulation-based mock codes at the University of Michigan tertiary care academic medical center. It is important to point out that the proposed framework offers the capability to consider a wide range of benefits and values, but on the other hand, there are several limitations that has been discussed and need to be taken in consideration. SAGE Publications 2017-01-23 /pmc/articles/PMC5798742/ /pubmed/28133988 http://dx.doi.org/10.1177/0046958016687176 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Bukhari, Hatim Andreatta, Pamela Goldiez, Brian Rabelo, Luis A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care |
title | A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care |
title_full | A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care |
title_fullStr | A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care |
title_full_unstemmed | A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care |
title_short | A Framework for Determining the Return on Investment of Simulation-Based Training in Health Care |
title_sort | framework for determining the return on investment of simulation-based training in health care |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798742/ https://www.ncbi.nlm.nih.gov/pubmed/28133988 http://dx.doi.org/10.1177/0046958016687176 |
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