Analysis of Factors Inhibiting the Dissemination of Telemedicine in Japan: Using the Interpretive Structural Modeling


Background: Telemedicine is not significantly spreading globally and large variations in its availability and use exist internationally. Although many factors already inhibit the dissemination of telemedicine, its complexly intertwined factors make it more difficult to solve this problem. This study aimed to analyze and visualize relationships among factors inhibiting the dissemination of telemedicine. We applied the interpretive structural modeling method and cross-impact matrix multiplication applied to classification analysis.

Materials and Methods: Factors inhibiting the dissemination of telemedicine in Japan were extracted by literature review and hearing from four medical informatics experts belonging to a university or hospital using the Kawakita Jiro method.

Results: Eighteen factors were extracted as those inhibiting the dissemination of telemedicine service in Japan: initial and operation cost, research data, legal development, profitability, usability, human resources, image quality, network speed, information security, technical limitation, restriction for clinical practice, practice continuity, target use case, burden for physicians, respondence, risks for clinical safety, understanding of medical staff, and understanding of patients. The hierarchical structure chart showed a nine-level structure and the cross-impact matrix showed the relationship among factors and the classification of them inhibiting the dissemination of telemedicine.

Discussion: We found that the underlying factors were high implementation and operation costs, low research data, and risks for clinical safety. Implementation and operation costs, research data, legal development, and profitability have high driving power; thus, it is expected that the elimination of these inhibiting factors would lead to the dissemination of telemedicine.

Conclusions: There are many kinds of factors inhibiting the dissemination of telemedicine in Japan. The result of this showed the structure of these factors visually and could be useful to solve the problem inhibiting the dissemination of telemedicine effectively and efficiently.





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