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Gupta S, Black-Schaffer WS, Crawford JM, et al. An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand. Acad Pathol. 2015;2(4):2374289515606730doi: 10.1177/2374289515606730.
Gupta, S., Black-Schaffer, W. S., Crawford, J. M., Gross, D., Karcher, D. S., Kaufman, J., Knapman, D., Prystowsky, M. B., Wheeler, T. M., Bean, S., Kumar, P., Sharma, R., Chamoli, V., Ghai, V., Gogia, V., Weintraub, S., Cohen, M. B., & Robboy, S. J. (2015). An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand. Academic pathology, 2(4), 2374289515606730. https://doi.org/10.1177/2374289515606730
Gupta, Saurabh, et al. "An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand." Academic pathology vol. 2,4 (2015): 2374289515606730. doi: https://doi.org/10.1177/2374289515606730
Gupta S, Black-Schaffer WS, Crawford JM, Gross D, Karcher DS, Kaufman J, Knapman D, Prystowsky MB, Wheeler TM, Bean S, Kumar P, Sharma R, Chamoli V, Ghai V, Gogia V, Weintraub S, Cohen MB, Robboy SJ. An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand. Acad Pathol. 2015 Oct 13;2(4):2374289515606730. doi: 10.1177/2374289515606730. eCollection 2015. PMID: 28725751; PMCID: PMC5479464.
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Acad Pathol. 2015 Oct 13;2(4):2374289515606730. doi: 10.1177/2374289515606730. eCollection 2015.

An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand.

Academic pathology

Saurabh Gupta, W Stephen Black-Schaffer, James M Crawford, David Gross, Donald S Karcher, Jill Kaufman, Doug Knapman, Michael B Prystowsky, Thomas M Wheeler, Sarah Bean, Paramhans Kumar, Raghav Sharma, Vaibhav Chamoli, Vikrant Ghai, Vineet Gogia, Sally Weintraub, Michael B Cohen, Stanley J Robboy

Affiliations

  1. Contify, New Delhi, Delhi, India.
  2. Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  3. Department of Pathology, Hofstra North Shore-LIJ School of Medicine, North Shore-LIJ Health System, Manhasset, NY, USA.
  4. College of American Pathologists, Washington DC, WA, USA.
  5. Department of Pathology, George Washington University, Washington, DC.
  6. Department of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
  7. Department of Pathology, Baylor College of Medicine, Houston, TX, USA.
  8. Department of Pathology, Duke University Medical Center, Durham, NC, USA.
  9. Integron, New Delhi, Delhi, India.
  10. XLRI-Xavier School of Management, Jamshedpur, Jharkhand, India.
  11. Rhondium Limited, Katikati, New Zealand.
  12. Department of Pathology, University of Utah, Salt Lake City, UT, USA.

PMID: 28725751 PMCID: PMC5479464 DOI: 10.1177/2374289515606730

Abstract

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.

Keywords: pathologist; physician workforce supply and demand; software modeling tool

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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