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

Author

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  • 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
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    Citations

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    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. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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).

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