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Health Information Technology and Patient Outcomes: The Role of Organizational and Informational Complementarities

Author

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  • Jeffrey S. McCullough
  • Stephen T. Parente
  • Robert Town

Abstract

Health information technology (IT) adoption, it is argued, will dramatically improve patient care. We study the impact of hospital IT adoption on patient outcomes focusing on the roles of technological and organizational complements in affecting IT's value and explore underlying mechanisms through which IT facilitates the coordination of labor inputs. We link detailed hospital discharge data on all Medicare fee-for-service admissions from 2002-2007 to detailed hospital-level IT adoption information. We employ a difference-in-differences strategy to identify the parameters of interest. For all IT sensitive conditions we find that health IT adoption reduces mortality for the most complex patients but does not affect outcomes for the median patient. This implies that the benefits from IT adoption are skewed to large institutions with a severe case mix. We decompose the impact of health IT into care coordination, clinical information management, and other components. The benefits from health IT are primarily experienced by patients whose diagnoses require cross-specialty care coordination and extensive clinical information management.

Suggested Citation

  • Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2013. "Health Information Technology and Patient Outcomes: The Role of Organizational and Informational Complementarities," NBER Working Papers 18684, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18684
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    References listed on IDEAS

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    Cited by:

    1. Ana Pinto Borges & Claudia Cardoso, 2013. "The ICT use in the implementation of Directive 2011/24/EU," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 44-52, June.
    2. Seth Freedman & Haizhen Lin & Jeffrey Prince, 2018. "Does Competition Lead to Agglomeration or Dispersion in EMR Vendor Decisions?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(1), pages 57-79, August.
    3. Andrew I. Friedson, 2018. "Medical Scribes as an Input in Health-Care Production: Evidence from a Randomized Experiment," American Journal of Health Economics, University of Chicago Press, vol. 4(4), pages 479-503, Fall.
    4. Amalia R. Miller & Catherine Tucker, 2017. "Frontiers of Health Policy: Digital Data and Personalized Medicine," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 49-75.
    5. García-Romero, Antonio & Escribano, Álvaro & Tribó, Josep A., 2017. "The impact of health research on length of stay in Spanish public hospitals," Research Policy, Elsevier, vol. 46(3), pages 591-604.
    6. Carole Roan Gresenz & Scott P. Laughery & Amalia Miller & Catherine E Tucker, 2015. "Health IT and Ambulatory Care Quality," Working Papers WR-1131, RAND Corporation.
    7. Seth Freedman & Haizhen Lin & Jeffrey T. Prince, 2014. "Information Technology and Patient Health: An Expanded Analysis of Outcomes, Populations, and Mechanisms," Working Papers 2014-02, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    8. Dranove, David & Garthwaite, Craig & Li, Bingyang & Ody, Christopher, 2015. "Investment subsidies and the adoption of electronic medical records in hospitals," Journal of Health Economics, Elsevier, vol. 44(C), pages 309-319.
    9. Sung J. Choi & M. Eric Johnson, 2019. "Do Hospital Data Breaches Reduce Patient Care Quality?," Papers 1904.02058, arXiv.org.
    10. Seth Freedman & Haizhen Lin & Jeffrey Prince, 2018. "Information Technology and Patient Health: Analyzing Outcomes, Populations, and Mechanisms," American Journal of Health Economics, MIT Press, vol. 4(1), pages 51-79, Winter.

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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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