IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v79y2012i3p498-508.html
   My bibliography  Save this article

Research Forecasting for Health Information Technology (HIT), using technology intelligence

Author

Listed:
  • Behkami, Nima A.
  • U. Daim, Tugrul

Abstract

Due to the rapid pace of change in technology and its impact on society, there is an increasing demand for use of Technology Forecasting methods to improve policy planning and implementation. One such area is the field of Health Care and the impact of Health Information Technology (HIT) on this field. Using HIT has shown to be associated with reduced cost, improved quality, and better patient experience; yet HIT adoption has been slow. Therefore, there is a need to better understand the HIT adoption processes in order to meet the evolving requirements for health care delivery.

Suggested Citation

  • Behkami, Nima A. & U. Daim, Tugrul, 2012. "Research Forecasting for Health Information Technology (HIT), using technology intelligence," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 498-508.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:3:p:498-508
    DOI: 10.1016/j.techfore.2011.08.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016251100182X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2011.08.015?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.

    Citations

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


    Cited by:

    1. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    2. James J. H. Liou & Ming-Tsang Lu & Shu-Kung Hu & Chia-Hua Cheng & Yen-Ching Chuang, 2017. "A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs," Sustainability, MDPI, vol. 9(10), pages 1-13, October.
    3. Li, Shuying & Garces, Edwin & Daim, Tugrul, 2019. "Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    4. Chen, Peng-Ting, 2018. "Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 150-164.
    5. Gastaldi, Luca & Pietrosi, Astrid & Lessanibahri, Sina & Paparella, Marco & Scaccianoce, Antonio & Provenzale, Giuseppe & Corso, Mariano & Gridelli, Bruno, 2018. "Measuring the maturity of business intelligence in healthcare: Supporting the development of a roadmap toward precision medicine within ISMETT hospital," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 84-103.
    6. Lee, Sang Yup & Lee, Keeheon, 2018. "Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 154-163.
    7. Li, Xin & Xie, Qianqian & Daim, Tugrul & Huang, Lucheng, 2019. "Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 432-449.
    8. Nilashi, Mehrbakhsh & Ahmadi, Hossein & Ahani, Ali & Ravangard, Ramin & Ibrahim, Othman bin, 2016. "Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 244-264.
    9. Osei-Frimpong, Kofi & Wilson, Alan & Lemke, Fred, 2018. "Patient co-creation activities in healthcare service delivery at the micro level: The influence of online access to healthcare information," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 14-27.
    10. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    11. Tortorella, Guilherme Luz & Fogliatto, Flávio Sanson & Espôsto, Kleber Francisco & Vergara, Alejandro Mac Cawley & Vassolo, Roberto & Mendoza, Diego Tlapa & Narayanamurthy, Gopalakrishnan, 2020. "Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies," Technological Forecasting and Social Change, Elsevier, vol. 156(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:eee:tefoso:v:79:y:2012:i:3:p:498-508. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.