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Health technology diffusion: Case of remote patient monitoring (RPM) for the care of senior population

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  • Alanazi, Hamad
  • Daim, Tugrul

Abstract

Increase in population is causing further increase in senior population which is the major cost factor in health care. Health information technology has been cited as one of the tools to help reduce this cost for this group of patients. Therefore, our study explores strategies and policies helping reduce the barriers for the adoption of a health information technology – teleconsultation – for senior population. The objective of this research is to develop a model to evaluate alternative solutions to increase the adoption of Remote Patient Monitoring (RPM) for the senior population. The research leverages hierarchical decision modeling (HDM) to build a hierarchical multi criteria assessment model. The model elements are derived through literature and validated by an expert panel.

Suggested Citation

  • Alanazi, Hamad & Daim, Tugrul, 2021. "Health technology diffusion: Case of remote patient monitoring (RPM) for the care of senior population," Technology in Society, Elsevier, vol. 66(C).
    • Handle: RePEc:eee:teinso:v:66:y:2021:i:c:s0160791x21001378
    DOI: 10.1016/j.techsoc.2021.101662
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    References listed on IDEAS

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    1. Amir Shaygan & Dilek Özdemir-Güngör & Hakan Kutgun & Anthony Williams & Ali Daneshi & Tugrul U. Daim, 2020. "Evaluation of smart activity tracking wristbands' adoption criteria for university students," International Journal of Transitions and Innovation Systems, Inderscience Enterprises Ltd, vol. 6(3), pages 219-244.
    2. Ozdemir, Dilek & Dabic, Marina & Daim, Tugrul, 2019. "Entrepreneurship education from a Croatian medical student's perspective," Technology in Society, Elsevier, vol. 58(C).
    3. Dogan Kumtepe, Elvan & Çorbacıoğlu, Eda & Başoğlu, Ahmet Nuri & Daim, Tugrul Unsal & Shaygan, Amir, 2021. "Design based exploration of medical system adoption: Case of wheelchair ramps," Technology in Society, Elsevier, vol. 66(C).
    4. Spatar, Daria & Kok, Orhun & Basoglu, Nuri & Daim, Tugrul, 2019. "Adoption factors of electronic health record systems," Technology in Society, Elsevier, vol. 58(C).
    5. Lehoux, P. & Sicotte, C. & Denis, J. -L. & Berg, M. & Lacroix, A., 2002. "The theory of use behind telemedicine: : how compatible with physicians' clinical routines?," Social Science & Medicine, Elsevier, vol. 54(6), pages 889-904, March.
    6. Yavuz, Merve & Çorbacıoğlu, Eda & Başoğlu, Ahmet Nuri & Daim, Tugrul Unsal & Shaygan, Amir, 2021. "Augmented reality technology adoption: Case of a mobile application in Turkey," Technology in Society, Elsevier, vol. 66(C).
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    Cited by:

    1. Yue Li & Qingyu Hu & Guilan Xie & Gong Chen, 2023. "Prediction of the Health Status of Older Adults Using Oversampling and Neural Network," Mathematics, MDPI, vol. 11(24), pages 1-33, December.
    2. Esmaeilzadeh, Pouyan, 2022. "Identification of barriers affecting the use of health information exchange (HIE) in clinicians' practices: An empirical study in the United States," Technology in Society, Elsevier, vol. 70(C).
    3. Mutanu, Leah & Gupta, Khushi & Gohil, Jeet, 2022. "Leveraging IoT solutions for enhanced health information exchange," Technology in Society, Elsevier, vol. 68(C).
    4. Allers, Sanne & Eijkenaar, Frank & van Raaij, Erik M. & Schut, Frederik T., 2023. "The long and winding road towards payment for healthcare innovation with high societal value but limited commercial value: A comparative case study of devices and health information technologies," Technology in Society, Elsevier, vol. 75(C).

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