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Is HIT a hit? The impact of health information technology on inpatient hospital outcomes

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  • Ryan M. McKenna
  • Debra Dwyer
  • John A. Rizzo
Abstract
In an effort to eliminate inefficiencies in the US health care sector, policymakers have made a concerted effort to encourage hospitals and physicians to adopt health information technology (HIT) systems. Using a unique data set on HIT adoption and health outcomes in New York State, we conduct a hospital-level analysis identifying the impact of adopting HIT on inpatient outcomes (rates of adverse drug events and severity-adjusted mortality). Unlike previous studies, the patient population is not restricted to Medicare patients, but covers all ages and insurance types. After controlling for unobserved hospital quality and endogenous HIT adoption, our results suggest that a hospital’s severity-adjusted mortality decreases by 0.3 percentage points. When restricted to the Medicare patients, we find HIT adoption lowers a hospital’s severity-adjusted mortality rate by 0.5 percentage points. We find HIT to have no significant effect on the rate of ADEs.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:27:p:3016-3028
    DOI: 10.1080/00036846.2017.1414934
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    Cited by:

    1. Ari Bronsoler & Joseph Doyle & John Van Reenen, 2021. "The impact of healthcare IT on clinical quality, productivity and workers," CEP Discussion Papers dp1801, Centre for Economic Performance, LSE.
    2. Pai, Dinesh R. & Rajan, Balaraman & Chakraborty, Subhajit, 2022. "Do EHR and HIE deliver on their promise? Analysis of Pennsylvania acute care hospitals," International Journal of Production Economics, Elsevier, vol. 245(C).
    3. 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.
    4. Lucy Xiaolu Wang, 2021. "The complementarity of drug monitoring programs and health IT for reducing opioid‐related mortality and morbidity," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2026-2046, September.

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