IDEAS home Printed from https://ideas.repec.org/a/kap/hcarem/v19y2016i4d10.1007_s10729-015-9329-z.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10729-015-9329-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10729-015-9329-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Natalia Zhivan & Mark Diana, 2012. "U.S. hospital efficiency and adoption of health information technology," Health Care Management Science, Springer, vol. 15(1), pages 37-47, March.
    2. Boothby, Daniel & Dufour, Anik & Tang, Jianmin, 2010. "Technology adoption, training and productivity performance," Research Policy, Elsevier, vol. 39(5), pages 650-661, June.
    3. Neset Hikmet & Anol Bhattacherjee & Nir Menachemi & Varol Kayhan & Robert Brooks, 2008. "The role of organizational factors in the adoption of healthcare information technology in Florida hospitals," Health Care Management Science, Springer, vol. 11(1), pages 1-9, March.
    4. Yasar A. Ozcan, 2014. "Evaluation of Performance in Health Care," International Series in Operations Research & Management Science, in: Health Care Benchmarking and Performance Evaluation, edition 2, chapter 0, pages 3-14, Springer.
    5. Yuki Kuwahara & Satoko Nagata & Atsuko Taguchi & Takashi Naruse & Hiroyuki Kawaguchi & Sachiyo Murashima, 2013. "Measuring the efficiencies of visiting nurse service agencies using data envelopment analysis," Health Care Management Science, Springer, vol. 16(3), pages 228-235, September.
    6. Rosella Levaggi & Michele Moretto & Vincenzo Rebba, 2009. "Investment decisions in hospital technology when physicians are devoted workers," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(5), pages 487-512.
    7. Robert D. Lieberthal & Dominique M. Comer, 2014. "What Are the Characteristics That Explain Hospital Quality? A Longitudinal Pridit Approach," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 17(1), pages 17-35, March.
    8. Yasar A. Ozcan, 2014. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4899-7472-3, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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.
    5. Dinesh R. Pai & Fatma Pakdil & Nasibeh Azadeh-Fard, 2024. "Applications of data envelopment analysis in acute care hospitals: a systematic literature review, 1984–2022," Health Care Management Science, Springer, vol. 27(2), pages 284-312, June.
    6. 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.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ferreira, D.C. & Marques, R.C., 2019. "Do quality and access to hospital services impact on their technical efficiency?," Omega, Elsevier, vol. 86(C), pages 218-236.
    2. Sergio Orlando Antoun Netto & Marcos Pereira Estellita Lins, 2014. "Homogeneous Clustering of Brazilian Municipalities Based on Structuring Health Care through Concept Maps," Research in Applied Economics, Macrothink Institute, vol. 6(4), pages 40-52, December.
    3. Ahmed Mohamed Habib & Nahia Mourad, 2022. "Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA-Malmquist Technology," SN Operations Research Forum, Springer, vol. 3(3), pages 1-20, September.
    4. Dario Maradin & Bojana Olgić Draženović & Saša Čegar, 2023. "The Efficiency of Offshore Wind Energy Companies in the European Countries: A DEA Approach," Energies, MDPI, vol. 16(9), pages 1-16, April.
    5. Rajendra Dulal, 2018. "Technical efficiency of nursing homes: do five-star quality ratings matter?," Health Care Management Science, Springer, vol. 21(3), pages 393-400, September.
    6. Girma Jirata Duguma & Jiqin Han, 2021. "Effect of deposit mobilization on the technical efficiency of rural saving and credit cooperatives: Evidence from Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(4), pages 621-647, December.
    7. Hacer Özgen Narcı & Yasar A. Ozcan & İsmet Şahin & Menderes Tarcan & Mustafa Narcı, 2015. "An examination of competition and efficiency for hospital industry in Turkey," Health Care Management Science, Springer, vol. 18(4), pages 407-418, December.
    8. Yasar A. Ozcan & Jaya Khushalani, 2017. "Assessing efficiency of public health and medical care provision in OECD countries after a decade of reform," 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. 25(2), pages 325-343, June.
    9. Nikolaos Oikonomou & Yannis Tountas & Argiris Mariolis & Kyriakos Souliotis & Kostas Athanasakis & John Kyriopoulos, 2016. "Measuring the efficiency of the Greek rural primary health care using a restricted DEA model; the case of southern and western Greece," Health Care Management Science, Springer, vol. 19(4), pages 313-325, December.
    10. Alejandro Arrieta & Jorge Guillén, 2017. "Output congestion leads to compromised care in Peruvian public hospital neonatal units," Health Care Management Science, Springer, vol. 20(2), pages 157-164, June.
    11. Vivian G. Valdmanis & Michael D. Rosko & Hervé Leleu & Dana B. Mukamel, 2017. "Assessing overall, technical, and scale efficiency among home health care agencies," Health Care Management Science, Springer, vol. 20(2), pages 265-275, June.
    12. Javier Fiallos & Jonathan Patrick & Wojtek Michalowski & Ken Farion, 2017. "Using data envelopment analysis for assessing the performance of pediatric emergency department physicians," Health Care Management Science, Springer, vol. 20(1), pages 129-140, March.
    13. Rita Bastião & Nuno de Sousa Pereira, 2020. "Performance in the Delivery of Primary Health Care Services: A Longitudinal Analysis," CEF.UP Working Papers 2002, Universidade do Porto, Faculdade de Economia do Porto.
    14. Ai-bing Ji & Yanhua Qiao & Chang Liu, 2019. "Fuzzy DEA-based classifier and its applications in healthcare management," Health Care Management Science, Springer, vol. 22(3), pages 560-568, September.
    15. Kristína Kočišová & Jakub Sopko, 2020. "The Efficiency of Public Health and Medical Care Systems in EU Countries: Dynamic Network Data Envelopment Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(2), pages 383-394.
    16. Ortega-Díaz, M. Isabel & Martín, Juan Carlos, 2022. "How to detect hospitals where quality would not be jeopardized by health cost savings? A methodological approach using DEA with SBM analysis," Health Policy, Elsevier, vol. 126(10), pages 1069-1074.
    17. Zilla Sinuany-Stern & Simona Cohen-Kadosh & Lea Friedman, 2016. "The relationship between the efficiency of orthopedic wards and the socio-economic status of their patients," 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. 24(4), pages 853-876, December.
    18. Songul Cinaroglu, 2020. "Integrated k-means clustering with data envelopment analysis of public hospital efficiency," Health Care Management Science, Springer, vol. 23(3), pages 325-338, September.
    19. Palazzolo, Jennifer R. & Ozcan, Yasar A., 2018. "Do the most efficient accountable care organizations earn shared savings?," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 12-17.
    20. Cinaroglu, Songul, 2021. "Changes in hospital efficiency and size: An integrated propensity score matching with data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:hcarem:v:19:y:2016:i:4:d:10.1007_s10729-015-9329-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.