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The effect of information technology on hospital performance

Author

Listed:
  • Cynthia Williams

    (University of North Florida)

  • Yara Asi

    (University of Central Florida)

  • Amanda Raffenaud

    (University of Central Florida)

  • Matt Bagwell

    (University of Central Florida)

  • Ibrahim Zeini

    (University of Central Florida)

Abstract

While healthcare entities have integrated various forms of health information technology (HIT) into their systems due to claims of increased quality and decreased costs, as well as various incentives, there is little available information about which applications of HIT are actually the most beneficial and efficient. In this study, we aim to assist administrators in understanding the characteristics of top performing hospitals. We utilized data from the Health Information and Management Systems Society and the Center for Medicare and Medicaid to assess 1039 hospitals. Inputs considered were full time equivalents, hospital size, and technology inputs. Technology inputs included personal health records (PHR), electronic medical records (EMRs), computerized physician order entry systems (CPOEs), and electronic access to diagnostic results. Output variables were measures of quality, hospital readmission and mortality rate. The analysis was conducted in a two-stage methodology: Data Envelopment Analysis (DEA) and Automatic Interaction Detector Analysis (AID), decision tree regression (DTreg). Overall, we found that electronic access to diagnostic results systems was the most influential technological characteristics; however organizational characteristics were more important than technological inputs. Hospitals that had the highest levels of quality indicated no excess in the use of technology input, averaging one use of a technology component. This study indicates that prudent consideration of organizational characteristics and technology is needed before investing in innovative programs.

Suggested Citation

  • Cynthia Williams & Yara Asi & Amanda Raffenaud & Matt Bagwell & Ibrahim Zeini, 2016. "The effect of information technology on hospital performance," Health Care Management Science, Springer, vol. 19(4), pages 338-346, December.
    • Handle: RePEc:kap:hcarem:v:19:y:2016:i:4:d:10.1007_s10729-015-9329-z
    DOI: 10.1007/s10729-015-9329-z
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    References listed on IDEAS

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    Cited by:

    1. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    2. Gyan Prakash & Shefali Srivastava, 2019. "Developing a Care Coordination Model Using a Hybrid DEMATEL and PLS-SEM Approach," IIM Kozhikode Society & Management Review, , vol. 8(1), pages 34-49, January.
    3. Roshanghalb, Afsaneh & Mazzali, Cristina & Lettieri, Emanuele & Paganoni, Anna Maria & Bottle, Alex, 2021. "Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data," Health Policy, Elsevier, vol. 125(10), pages 1393-1397.
    4. Margit Sommersguter-Reichmann, 2022. "Health care quality in nonparametric efficiency studies: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 67-131, March.
    5. Nurul Izzatty Ismail, & Nor Hazana Abdullah,, 2017. "Malaysia Health Information Exchange: A systematic review," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(5), pages 706-721, December.
    6. Chevalier de Dieu Kutche Tamghe & Denis Ngae & Innocent Essomme, 2020. "The effects of ICT ownership on hospital performance in the Cameroonian context," Post-Print hal-02572381, HAL.

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