IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v110y2020p400-404.html
   My bibliography  Save this article

Artificial Intelligence in Health Care? Evidence from Online Job Postings

Author

Listed:
  • Avi Goldfarb
  • Bledi Taska
  • Florenta Teodoridis

Abstract

This paper documents a puzzle. Despite the numerous popular press discussions of artificial intelligence (AI) in health care, there has been relatively little adoption. Using data from Burning Glass Technologies on millions of online job postings, we find that AI adoption in health care remains substantially lower than in most other industries and that under 3 percent of the hospitals in our data posted any jobs requiring AI skills from 2015–2018. The low adoption rates mean any statistical analysis is limited. Nevertheless, the adoption we do observe shows that larger hospitals, larger counties, and integrated salary model hospitals are more likely to adopt.

Suggested Citation

  • Avi Goldfarb & Bledi Taska & Florenta Teodoridis, 2020. "Artificial Intelligence in Health Care? Evidence from Online Job Postings," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 400-404, May.
    • Handle: RePEc:aea:apandp:v:110:y:2020:p:400-404
    DOI: 10.1257/pandp.20201006
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20201006
    Download Restriction: no
    File URL: https://doi.org/10.3886/E117124V1
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20201006.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    File URL: https://libkey.io/10.1257/pandp.20201006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
    3. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
    4. E. Mark Curtis & Ioana Marinescu, 2023. "Green Energy Jobs in the United States: What Are They, and Where Are They?," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 4(1), pages 202-237.
    5. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    6. Atkins, Rachel M.B. & Hernández-Lagos, Pablo & Jara-Figueroa, Cristian & Seamans, Robert, 2023. "JUE Insight: What is the impact of opportunity zones on job postings?," Journal of Urban Economics, Elsevier, vol. 136(C).
    7. Ajay Agrawal & Joshua Gans & Avi Goldfarb & Catherine Tucker, 2023. "Introduction to "The Economics of Artificial Intelligence: Health Care Challenges"," NBER Chapters, in: The Economics of Artificial Intelligence: Health Care Challenges, pages 1-7, National Bureau of Economic Research, Inc.
    8. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:apandp:v:110:y:2020:p:400-404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.