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An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand
Effective physician workforce management requires that the various organizations comprising the House of Medicine be able to assess their current and future workforce supply. This information has direct relevance to funding of graduate medical education. We describe a dynamic modeling tool that exam...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5479464/ https://www.ncbi.nlm.nih.gov/pubmed/28725751 http://dx.doi.org/10.1177/2374289515606730 |
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author | Gupta, Saurabh Black-Schaffer, W. Stephen Crawford, James M. Gross, David Karcher, Donald S. Kaufman, Jill Knapman, Doug Prystowsky, Michael B. Wheeler, Thomas M. Bean, Sarah Kumar, Paramhans Sharma, Raghav Chamoli, Vaibhav Ghai, Vikrant Gogia, Vineet Weintraub, Sally Cohen, Michael B. Robboy, Stanley J. |
author_facet | Gupta, Saurabh Black-Schaffer, W. Stephen Crawford, James M. Gross, David Karcher, Donald S. Kaufman, Jill Knapman, Doug Prystowsky, Michael B. Wheeler, Thomas M. Bean, Sarah Kumar, Paramhans Sharma, Raghav Chamoli, Vaibhav Ghai, Vikrant Gogia, Vineet Weintraub, Sally Cohen, Michael B. Robboy, Stanley J. |
author_sort | Gupta, Saurabh |
collection | PubMed |
description | Effective physician workforce management requires that the various organizations comprising the House of Medicine be able to assess their current and future workforce supply. This information has direct relevance to funding of graduate medical education. We describe a dynamic modeling tool that examines how individual factors and practice variables can be used to measure and forecast the supply and demand for existing and new physician services. The system we describe, while built to analyze the pathologist workforce, is sufficiently broad and robust for use in any medical specialty. Our design provides a computer-based software model populated with data from surveys and best estimates by specialty experts about current and new activities in the scope of practice. The model describes the steps needed and data required for analysis of supply and demand. Our modeling tool allows educators and policy makers, in addition to physician specialty organizations, to assess how various factors may affect demand (and supply) of current and emerging services. Examples of factors evaluated include types of professional services (3 categories with 16 subcategories), service locations, elements related to the Patient Protection and Affordable Care Act, new technologies, aging population, and changing roles in capitated, value-based, and team-based systems of care. The model also helps identify where physicians in a given specialty will likely need to assume new roles, develop new expertise, and become more efficient in practice to accommodate new value-based payment models. |
format | Online Article Text |
id | pubmed-5479464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-54794642017-07-06 An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand Gupta, Saurabh Black-Schaffer, W. Stephen Crawford, James M. Gross, David Karcher, Donald S. Kaufman, Jill Knapman, Doug Prystowsky, Michael B. Wheeler, Thomas M. Bean, Sarah Kumar, Paramhans Sharma, Raghav Chamoli, Vaibhav Ghai, Vikrant Gogia, Vineet Weintraub, Sally Cohen, Michael B. Robboy, Stanley J. Acad Pathol Article Effective physician workforce management requires that the various organizations comprising the House of Medicine be able to assess their current and future workforce supply. This information has direct relevance to funding of graduate medical education. We describe a dynamic modeling tool that examines how individual factors and practice variables can be used to measure and forecast the supply and demand for existing and new physician services. The system we describe, while built to analyze the pathologist workforce, is sufficiently broad and robust for use in any medical specialty. Our design provides a computer-based software model populated with data from surveys and best estimates by specialty experts about current and new activities in the scope of practice. The model describes the steps needed and data required for analysis of supply and demand. Our modeling tool allows educators and policy makers, in addition to physician specialty organizations, to assess how various factors may affect demand (and supply) of current and emerging services. Examples of factors evaluated include types of professional services (3 categories with 16 subcategories), service locations, elements related to the Patient Protection and Affordable Care Act, new technologies, aging population, and changing roles in capitated, value-based, and team-based systems of care. The model also helps identify where physicians in a given specialty will likely need to assume new roles, develop new expertise, and become more efficient in practice to accommodate new value-based payment models. SAGE Publications 2015-10-13 /pmc/articles/PMC5479464/ /pubmed/28725751 http://dx.doi.org/10.1177/2374289515606730 Text en © SAGE Publications 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 Gupta, Saurabh Black-Schaffer, W. Stephen Crawford, James M. Gross, David Karcher, Donald S. Kaufman, Jill Knapman, Doug Prystowsky, Michael B. Wheeler, Thomas M. Bean, Sarah Kumar, Paramhans Sharma, Raghav Chamoli, Vaibhav Ghai, Vikrant Gogia, Vineet Weintraub, Sally Cohen, Michael B. Robboy, Stanley J. An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand |
title | An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand |
title_full | An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand |
title_fullStr | An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand |
title_full_unstemmed | An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand |
title_short | An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand |
title_sort | innovative interactive modeling tool to analyze scenario-based physician workforce supply and demand |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5479464/ https://www.ncbi.nlm.nih.gov/pubmed/28725751 http://dx.doi.org/10.1177/2374289515606730 |
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