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The Impact of Health Information and Communication Technology on Clinical Quality, Productivity, and Workers

Author

Listed:
  • Ari Bronsoler

    (Department of Economics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA)

  • John Van Reenen

    (Department of Economics, London School of Economics, London, United Kingdom)

  • Joseph Doyle

    (Initiative on the Digital Economy, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA)

Abstract

The adoption of health information and communication technology (HICT) has surged over the past two decades. We survey the medical and economic literature on HICT adoption and its impact on clinical outcomes, productivity, and the health care workforce. We find that HICT improves clinical outcomes and lowers health care costs; however, (a) the effects are modest so far, (b) it takes time for these effects to materialize, and (c) there is much variation in the impact. More evidence on the causal effects of HICT on productivity is needed to improve our analytical understanding and to guide further adoption. There is little econometric work directly investigating the impact of HICT on labor market outcomes, but the existing literature suggests that there are no substantial negative effects on employment and earnings. Overall, although health care is in many ways exceptional, we are struck by the similarities of our conclusions to the wider findingson the relationship between productivity and information and communication technologies, which stress the importance of complementary factors (e.g., management practices and skills) in determining the impact of these new technologies.

Suggested Citation

  • Ari Bronsoler & John Van Reenen & Joseph Doyle, 2022. "The Impact of Health Information and Communication Technology on Clinical Quality, Productivity, and Workers," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 23-46, August.
    • Handle: RePEc:anr:reveco:v:14:y:2022:p:23-46
    DOI: 10.1146/annurev-economics-080921-101909
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Nicholas Bloom & Renata Lemos & Raffaella Sadun & John Van Reenen, 2020. "Healthy Business? Managerial Education and Management in Health Care," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 506-517, July.
    3. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    4. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    5. Kai Uwe Kühn & John Van Reenen, 2008. "Interoperability and Market Foreclosure In the European Microsoft Case," CEP Reports 20, Centre for Economic Performance, LSE.
    6. Agha, Leila, 2014. "The effects of health information technology on the costs and quality of medical care," Journal of Health Economics, Elsevier, vol. 34(C), pages 19-30.
    7. Nicholas Bloom & Carol Propper & Stephan Seiler & John Van Reenen, 2015. "The Impact of Competition on Management Quality: Evidence from Public Hospitals," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 457-489.
    8. Randall D. Cebul & James B. Rebitzer & Lowell J. Taylor & Mark E. Votruba, 2008. "Organizational Fragmentation and Care Quality in the U.S. Healthcare System," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 93-113, Fall.
    9. Zack Cooper & Stuart V Craig & Martin Gaynor & John Van Reenen, 2019. "The Price Ain’t Right? Hospital Prices and Health Spending on the Privately Insured," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 51-107.
    10. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    11. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1351-1408.
    12. Amalia R. Miller & Catherine E. Tucker, 2011. "Can Health Care Information Technology Save Babies?," Journal of Political Economy, University of Chicago Press, vol. 119(2), pages 289-324.
    13. David Autor & David Dorn & Lawrence F Katz & Christina Patterson & John Van Reenen, 2020. "The Fall of the Labor Share and the Rise of Superstar Firms [“Automation and New Tasks: How Technology Displaces and Reinstates Labor”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 645-709.
    14. Jinhyung Lee & Jeffrey S. McCullough & Robert J. Town, 2013. "The impact of health information technology on hospital productivity," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 545-568, September.
    15. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    16. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    17. Swan, Philip L, 1973. "The International Diffusion of an Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 22(1), pages 61-69, September.
    18. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    19. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1449-1492.
    20. Hemant K. Bhargava & Abhay Nath Mishra, 2014. "Electronic Medical Records and Physician Productivity: Evidence from Panel Data Analysis," Management Science, INFORMS, vol. 60(10), pages 2543-2562, October.
    21. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    22. Ravi Aron & Shantanu Dutta & Ramkumar Janakiraman & Praveen A. Pathak, 2011. "The Impact of Automation of Systems on Medical Errors: Evidence from Field Research," Information Systems Research, INFORMS, vol. 22(3), pages 429-446, September.
    23. David Dranove & Chris Forman & Avi Goldfarb & Shane Greenstein, 2014. "The Trillion Dollar Conundrum: Complementarities and Health Information Technology," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 239-270, November.
    24. repec:dau:papers:123456789/10093 is not listed on IDEAS
    25. Kartik K. Ganju & Hilal Atasoy & Jeffery McCullough & Brad Greenwood, 2020. "The Role of Decision Support Systems in Attenuating Racial Biases in Healthcare Delivery," Management Science, INFORMS, vol. 66(11), pages 5171-5181, November.
    26. Joseph Doyle & Sarah Abraham & Laura Feeney & Sarah Reimer & Amy Finkelstein, 2019. "Clinical decision support for high-cost imaging: A randomized clinical trial," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-13, March.
    27. Joseph J. Doyle Jr. & John A. Graves & Jonathan Gruber & Samuel A. Kleiner, 2015. "Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 170-214.
    28. Robert E. Hall, 2005. "Employment Efficiency and Sticky Wages: Evidence from Flows in the Labor Market," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 397-407, August.
    29. Amalia R. Miller & Catherine Tucker, 2009. "Privacy Protection and Technology Diffusion: The Case of Electronic Medical Records," Management Science, INFORMS, vol. 55(7), pages 1077-1093, July.
    30. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    31. Susan F. Lu & Huaxia Rui & Abraham Seidmann, 2018. "Does Technology Substitute for Nurses? Staffing Decisions in Nursing Homes," Management Science, INFORMS, vol. 64(4), pages 1842-1859, April.
    32. Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2016. "Health information technology and patient outcomes: the role of information and labor coordination," RAND Journal of Economics, RAND Corporation, vol. 47(1), pages 207-236, February.
    33. Ryan M. McKenna & Debra Dwyer & John A. Rizzo, 2018. "Is HIT a hit? The impact of health information technology on inpatient hospital outcomes," Applied Economics, Taylor & Francis Journals, vol. 50(27), pages 3016-3028, June.
    34. Vasiliki Mantzana & Marinos Themistocleous & Zahir Irani & Vincenzo Morabito, 2007. "Identifying healthcare actors involved in the adoption of information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(1), pages 91-102, February.
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    Cited by:

    1. Amalia R. Miller, 2023. "Privacy of Digital Health Information," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    health care; technology; productivity; jobs;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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