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Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities

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  • Ritu Agarwal
  • Michelle Dugas
  • Guodong (Gordon) Gao

Abstract

We reflect on the progress and prospects of artificial intelligence (AI)‐powered transformation in healthcare from the perspective of front‐line clinical professionals responsible for care delivery. While there is considerable optimism about the potential of AI, critical gaps in understanding remain that represent fruitful opportunities for economics and management scholars. We outline the ways in which the strengths of AI can compensate for key limitations of physicians. We then focus on productive use of AI by physicians, highlighting the need for a deeper understanding of human‐AI teaming. We argue that productive teaming requires research on two critical issues: trust in AI and the redesign of clinical workflow to optimally accommodate artificial and human intelligence synergistically.

Suggested Citation

  • Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao, 2024. "Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 360-374, March.
  • Handle: RePEc:bla:jemstr:v:33:y:2024:i:2:p:360-374
    DOI: 10.1111/jems.12555
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    as
    1. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    2. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, January.
    3. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    4. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    5. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    6. Hall, W.J. & Chapman, M.V. & Lee, K.M. & Merino, Y.M. & Thomas, T.W. & Payne, B.K. & Eng, E. & Day, S.H. & Coyne-Beasley, T., 2015. "Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: A systematic review," American Journal of Public Health, American Public Health Association, vol. 105(12), pages 60-76.
    7. Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023. "Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings," Research Policy, Elsevier, vol. 52(1).
    8. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    9. David Dranove & Craig Garthwaite, 2022. "Artificial Intelligence, the Evolution of the Health Care Value Chain, and the Future of the Physician," NBER Chapters, in: The Economics of Artificial Intelligence: Health Care Challenges, pages 9-45, National Bureau of Economic Research, Inc.
    10. Jussupow, Ekaterina & Spohrer, Kai & Heinzl, Armin & Gawlitza, Joshua, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 137446, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Jie Mein Goh & Guodong (Gordon) Gao & Ritu Agarwal, 2011. "Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare," Information Systems Research, INFORMS, vol. 22(3), pages 565-585, September.
    12. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    13. Colin F. Camerer, 2018. "Artificial Intelligence and Behavioral Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 587-608, National Bureau of Economic Research, Inc.
    14. Brad N. Greenwood & Ritu Agarwal & Rajshree Agarwal & Anandasivam Gopal, 2017. "The When and Why of Abandonment: The Role of Organizational Differences In Medical Technology Life Cycles," Management Science, INFORMS, vol. 63(9), pages 2948-2966, September.
    15. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    16. Margrét Vilborg Bjarnadóttir & David B. Anderson & Ritu Agarwal & D. Alan Nelson, 2022. "Aiding the prescriber: developing a machine learning approach to personalized risk modeling for chronic opioid therapy amongst US Army soldiers," Health Care Management Science, Springer, vol. 25(4), pages 649-665, December.
    17. Brad N. Greenwood & Ritu Agarwal & Rajshree Agarwal & Anandasivam Gopal, 2019. "The Role of Individual and Organizational Expertise in the Adoption of New Practices," Organization Science, INFORMS, vol. 30(1), pages 191-213, February.
    18. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    19. Agarwal, Ritu & Liu, Che-Wei & Prasad, Kislaya, 2019. "Personal research, second opinions, and the diagnostic effort of experts," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 44-61.
    20. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
    21. Alexander J. Gates & Deisy Morselli Gysi & Manolis Kellis & Albert-László Barabási, 2021. "A wealth of discovery built on the Human Genome Project — by the numbers," Nature, Nature, vol. 590(7845), pages 212-215, February.
    22. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    23. David Cutler & Jonathan S. Skinner & Ariel Dora Stern & David Wennberg, 2019. "Physician Beliefs and Patient Preferences: A New Look at Regional Variation in Health Care Spending," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 192-221, February.
    24. Ekaterina Jussupow & Kai Spohrer & Armin Heinzl & Joshua Gawlitza, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Information Systems Research, INFORMS, vol. 32(3), pages 713-735, September.
    25. Timothy M. Rawson & Raheelah Ahmad & Christofer Toumazou & Pantelis Georgiou & Alison H. Holmes, 2019. "Artificial intelligence can improve decision-making in infection management," Nature Human Behaviour, Nature, vol. 3(6), pages 543-545, June.
    26. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    27. Berg Joyce & Dickhaut John & McCabe Kevin, 1995. "Trust, Reciprocity, and Social History," Games and Economic Behavior, Elsevier, vol. 10(1), pages 122-142, July.
    28. Amalia R. Miller & Catherine Tucker, 2018. "Privacy Protection, Personalized Medicine, and Genetic Testing," Management Science, INFORMS, vol. 64(10), pages 4648-4668, October.
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