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Can we predict the effects of artificial intelligence and virtual care on the health labour market?

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Listed:
  • Stephen J. Robson

    (The Australian National University)

  • Martin Hensher

    (University of Tasmania)

  • Jeffrey C. Looi

    (The Australian National University)

Abstract

Australian society, as is observed globally, is undergoing a profound demographic shift with an ageing population imposing increasing demands on the health system. There is a well-recognised association between an ageing population and the need for health and aged care. As such, the demand for high quality care services will grow necessitating the attraction, training and retention of workers supported by better use of technology and data. With increasing demand for a healthcare workforce of appropriate size and skill, attention has turned to new technologies such as artificial intelligence and virtual care as potential ways of dealing with labour market supply constraints. While these new technologies are exciting at this point, they are nascent and there is not, as yet, clear evidence that they will have a major effect on health workforce requirements. It is too early to be optimistic regarding artificial intelligence technologies in healthcare, and virtual care still requires a workforce to underpin its operations. Cautious evaluation is necessary before artificial intelligence and virtual care become practical in more complex human healthcare tasks or can emulate the abilities of humans in delivering human-centred healthcare.

Suggested Citation

  • Stephen J. Robson & Martin Hensher & Jeffrey C. Looi, 2024. "Can we predict the effects of artificial intelligence and virtual care on the health labour market?," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 27(2), pages 143-160.
    • Handle: RePEc:ozl:journl:v:27:y:2024:i:2:p:143-160
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    References listed on IDEAS

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    1. Barbara McPake & Prarthna Dayal & Julia Zimmermann & Gemma A. Williams, 2024. "How can countries respond to the health and care workforce crisis? Insights from international evidence," International Journal of Health Planning and Management, Wiley Blackwell, vol. 39(3), pages 879-887, May.
    2. Chandan Sharma & Ritesh Kumar Mishra, 2023. "Imports, technology, and employment: Job creation or creative destruction," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 152-170, January.
    3. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    4. McPake, Barbara & Dayal, Prarthna & Zimmermann, Julia & Williams, Gemma A., 2024. "How can countries respond to the health and care workforce crisis? Insights from international evidence," LSE Research Online Documents on Economics 121977, London School of Economics and Political Science, LSE Library.
    5. Tom Lee & Carol Propper & George Stoye, 2019. "Medical Labour Supply and the Production of Healthcare," Fiscal Studies, John Wiley & Sons, vol. 40(4), pages 621-661, December.
    6. Hofmarcher, Maria M. & Festl, Eva & Bishop-Tarver, Leslie, 2016. "Health sector employment growth calls for improvements in labor productivity," Health Policy, Elsevier, vol. 120(8), pages 894-902.
    7. Hensher, Martin & Tisdell, John & Zimitat, Craig, 2017. "“Too much medicine”: Insights and explanations from economic theory and research," Social Science & Medicine, Elsevier, vol. 176(C), pages 77-84.
    8. Baumol, William J, 1993. "Health Care, Education and the Cost Disease: A Looming Crisis for Public Choice," Public Choice, Springer, vol. 77(1), pages 17-28, September.
    9. Anthony Harris & Anurag Sharma, 2018. "Estimating the future health and aged care expenditure in Australia with changes in morbidity," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
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    Keywords

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    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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