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Analysis of the Impact of Telemedicine on the Health System in a European Context

Author

Listed:
  • Mihaela Mihai

    (The Bucharest University of Economic Studies)

  • Claudia-Andreea Toma

    (The Bucharest University of Economic Studies)

  • Daniela-Ioana Manea

    (The Bucharest University of Economic Studies)

Abstract

Accessibility, cost, availability and quality of medical services have always been an important topic in the European Union. The rapid development of high-tech technologies, software and hardware, have allowed the emergence of a new trend in the health system, telemedicine. The aim of this paper is to propose a detailed analysis of the openness of the European health system to innovation, in particular to the adoption of telemedicine solutions. Thus, the aim is to identify the barriers of this type of medicine by studying the literature. The application of the analysis in principal components highlights factors that influence the decision of a member state of the European Union to adopt or postpone this trend such as education, level of technology or demographic aspects. The analysis is completed by the study of telemedicine in Romania. The results of the statistical models capture the evolution of telemedicine, offering a general perspective on the spatial impact, emphasizing the specifics of the Romanian health system.

Suggested Citation

  • Mihaela Mihai & Claudia-Andreea Toma & Daniela-Ioana Manea, 2020. "Analysis of the Impact of Telemedicine on the Health System in a European Context," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 160-168, December.
  • Handle: RePEc:ovi:oviste:v:xx:y:2020:i:2:p:160-168
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    More about this item

    Keywords

    telemedicine; analysis in principal components; barriers; European Union; Romania;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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