The Pathologist Workforce in the United States: II. An Interactive Modeling Tool for Analyzing Future Qualitative and Quantitative Staffing Demands for Services.

Journal Article (Journal Article)

CONTEXT: Pathologists are physicians who make diagnoses based on interpretation of tissue and cellular specimens (surgical/cytopathology, molecular/genomic pathology, autopsy), provide medical leadership and consultation for laboratory medicine, and are integral members of their institutions' interdisciplinary patient care teams. OBJECTIVE: To develop a dynamic modeling tool to examine how individual factors and practice variables can forecast demand for pathologist services. DESIGN: Build and test a computer-based software model populated with data from surveys and best estimates about current and new pathologist efforts. RESULTS: Most pathologists' efforts focus on anatomic (52%), laboratory (14%), and other direct services (8%) for individual patients. Population-focused services (12%) (eg, laboratory medical direction) and other professional responsibilities (14%) (eg, teaching, research, and hospital committees) consume the rest of their time. Modeling scenarios were used to assess the need to increase or decrease efforts related globally to the Affordable Care Act, and specifically, to genomic medicine, laboratory consolidation, laboratory medical direction, and new areas where pathologists' expertise can add value. CONCLUSIONS: Our modeling tool allows pathologists, educators, and policy experts to assess how various factors may affect demand for pathologists' services. These factors include an aging population, advances in biomedical technology, and changing roles in capitated, value-based, and team-based medical care systems. In the future, pathologists will likely have to assume new roles, develop new expertise, and become more efficient in practicing medicine to accommodate new value-based delivery models.

Full Text

Duke Authors

Cited Authors

  • Robboy, SJ; Gupta, S; Crawford, JM; Cohen, MB; Karcher, DS; Leonard, DGB; Magnani, B; Novis, DA; Prystowsky, MB; Powell, SZ; Gross, DJ; Black-Schaffer, WS

Published Date

  • November 2015

Published In

Volume / Issue

  • 139 / 11

Start / End Page

  • 1413 - 1430

PubMed ID

  • 26516939

Electronic International Standard Serial Number (EISSN)

  • 1543-2165

Digital Object Identifier (DOI)

  • 10.5858/arpa.2014-0559-OA


  • eng

Conference Location

  • United States