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Prospects for Telemedicine Adoption: Prognostic Modeling as Exemplified by Rural Areas of USA

Author

Listed:
  • Jisun Kim

    (Portland State University, US)

  • Hamad Alanazi

    (Portland State University, US)

  • Tugrul Daim

    (Portland State University, US)

Abstract

Experts predict that in the majority of countries state healthcare expenditures will continue to rise. Usage of telemedicine applications – the use of information and communications technologies (ICT) in order to provide clinical health care at a distance – will help optimize the costs of healthcare in the long-term. The main advantages of telemedicine include reducing the number of doctor’s errors, saving both patients and physicians time, and improving the efficiency of healthcare organizations. It also ensures timely and quality services for large segments of the population living in remote territories with difficult socio-economic conditions, particularly rural areas. The paper forecasts the adoption rate of telemedicine in US rural areas by using the Bass Model. The model is considered quite versatile as it can be used across a wide range of products and services. Nevertheless, the Bass model has some limitations related to how it estimates missing data. Calculation errors can be related to numerous barriers, which affect the adoption rate of telemedicine. These barriers include: high costs of production and exploitation of hi-tech equipment; physicians insufficiently prepared to adopt and use the latest technologies in their daily work; as well as possible concerns of patients about the quality of remote healthcare service.

Suggested Citation

  • Jisun Kim & Hamad Alanazi & Tugrul Daim, 2015. "Prospects for Telemedicine Adoption: Prognostic Modeling as Exemplified by Rural Areas of USA," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 9(4), pages 32-41.
    • Handle: RePEc:hig:fsight:v:9:y:2015:i:4:p:32-41
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    References listed on IDEAS

    as
    1. Frank M. Bass, 2004. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 50(12_supple), pages 1825-1832, December.
    2. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    3. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    telemedicine; remote medical services; information and communication technologies (ICT); healthcare expenditures; the Bass model;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

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