Literature DB >> 23738764

Pathologist workforce in the United States: I. Development of a predictive model to examine factors influencing supply.

Stanley J Robboy1, Sally Weintraub, Andrew E Horvath, Bradden W Jensen, C Bruce Alexander, Edward P Fody, James M Crawford, Jimmy R Clark, Julie Cantor-Weinberg, Megha G Joshi, Michael B Cohen, Michael B Prystowsky, Sarah M Bean, Saurabh Gupta, Suzanne Z Powell, V O Speights, David J Gross, W Stephen Black-Schaffer.   

Abstract

CONTEXT: Results of prior pathology workforce surveys have varied between a state of equilibrium and predictions of shortage.
OBJECTIVE: To assess the current and future supply of pathologists, and apply a dynamic modeling tool for assessing the effects of changing market forces and emerging technologies on the supply of pathologists' services through 2030.
DESIGN: Data came from various sources, including the literature, College of American Pathologists' internal data, and primary research through custom-developed surveys for the membership and for pathology practice managers
RESULTS: Through 2010, there were approximately 18 000 actively practicing pathologists in the United States (5.7 per 100 000 population), approximately 93% of whom were board certified. Our model projects that the absolute and per capita numbers of practicing pathologists will decrease to approximately 14 000 full-time equivalent (FTE) pathologists or 3.7 per 100 000 in the coming 2 decades. This projection reflects that beginning in 2015, the numbers of pathologists retiring will increase precipitously, and is anticipated to peak by 2021. Including all types of separation, the net pathologist strength will begin falling by year 2015. Unless workforce entry or exit rates change, this trend will continue at least through 2030. These changes reflect the closure of many training programs 2 to 4 decades ago and the substantially decreased number of graduating residents.
CONCLUSIONS: This comprehensive analysis predicts that pathologist numbers will decline steadily beginning in 2015. Anticipated population growth in general and increases in disease incidence owing to the aging population, to be presented in a companion article on demand, will lead to a net deficit in excess of more than 5700 FTE pathologists. To reach the projected need in pathologist numbers of nearly 20 000 FTE by 2030 will require an increase from today of approximately 8.1% more residency positions. We believe a pathologist shortage will negatively impact both patient access to laboratory services and health care providers' abilities to deliver more effective health care to their patient populations.

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Year:  2013        PMID: 23738764     DOI: 10.5858/arpa.2013-0200-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  54 in total

1.  Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Authors:  Kun-Hsing Yu; Feiran Wang; Gerald J Berry; Christopher Ré; Russ B Altman; Michael Snyder; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

2.  From Scope to Screen: The Evolution of Histology Education.

Authors:  Jamie A Chapman; Lisa M J Lee; Nathan T Swailes
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

3.  Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images-a Comparative Insight.

Authors:  Shallu Sharma; Rajesh Mehra
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

Review 4.  Breast Cancer in Low- and Middle-Income Countries: Why We Need Pathology Capability to Solve This Challenge.

Authors:  Yehoda M Martei; Lydia E Pace; Jane E Brock; Lawrence N Shulman
Journal:  Clin Lab Med       Date:  2017-12-13       Impact factor: 1.935

Review 5.  The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.

Authors:  Nick Dragojlovic; Kennedy Borle; Nicola Kopac; Ursula Ellis; Patricia Birch; Shelin Adam; Jan M Friedman; Amy Nisselle; Alison M Elliott; Larry D Lynd
Journal:  Genet Med       Date:  2020-06-24       Impact factor: 8.822

Review 6.  Artificial Intelligence in Pathology: From Prototype to Product.

Authors:  André Homeyer; Johannes Lotz; Lars Ole Schwen; Nick Weiss; Daniel Romberg; Henning Höfener; Norman Zerbe; Peter Hufnagl
Journal:  J Pathol Inform       Date:  2021-03-22

7.  Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

Authors:  Nassim Bouteldja; Barbara M Klinkhammer; Roman D Bülow; Patrick Droste; Simon W Otten; Saskia Freifrau von Stillfried; Julia Moellmann; Susan M Sheehan; Ron Korstanje; Sylvia Menzel; Peter Bankhead; Matthias Mietsch; Charis Drummer; Michael Lehrke; Rafael Kramann; Jürgen Floege; Peter Boor; Dorit Merhof
Journal:  J Am Soc Nephrol       Date:  2020-11-05       Impact factor: 10.121

8.  Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks.

Authors:  Todd C Hollon; Balaji Pandian; Esteban Urias; Akshay V Save; Arjun R Adapa; Sudharsan Srinivasan; Neil K Jairath; Zia Farooq; Tamara Marie; Wajd N Al-Holou; Karen Eddy; Jason A Heth; Siri Sahib S Khalsa; Kyle Conway; Oren Sagher; Jeffrey N Bruce; Peter Canoll; Christian W Freudiger; Sandra Camelo-Piragua; Honglak Lee; Daniel A Orringer
Journal:  Neuro Oncol       Date:  2021-01-30       Impact factor: 12.300

9.  Virtual Pathology Elective Provides Uninterrupted Medical Education and Impactful Pathology Education During the COVID-19 Pandemic.

Authors:  Lucy Fu; Michael Swete; Daniel Selgrade; Clarence W Chan; Raven Rodriguez; Kristy Wolniak; Luis Z Blanco
Journal:  Acad Pathol       Date:  2021-04-28

10.  Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.

Authors:  Giovanni Lujan; Jennifer C Quigley; Douglas Hartman; Anil Parwani; Brian Roehmholdt; Bryan Van Meter; Orly Ardon; Matthew G Hanna; Dan Kelly; Chelsea Sowards; Michael Montalto; Marilyn Bui; Mark D Zarella; Victoria LaRosa; Gerard Slootweg; Juan Antonio Retamero; Mark C Lloyd; James Madory; Doug Bowman
Journal:  J Pathol Inform       Date:  2021-04-07
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