Where Does Telemedicine Achieve a Cost Reduction Effect? Cost Minimization Analysis of Teleradiology Services in Japan

The health economic effects of an imaging technology–based telemedicine system for rural neuro-emergency patient care

OBJECTIVE

“Join,” an imaging technology–based telemedicine system, allows simultaneous radiological information sharing between physically remote institutions, virtually connecting advanced medical institutions and rural hospitals. This study aimed to elucidate the health economics effect of Join for neurological telemedicine in rural areas in Hokkaido, Japan.

METHODS

Information concerning 189 requests for patient transfer from Furano Kyokai Hospital, a regional rural hospital, to Asahikawa Medical University Hospital (AMUH), an advanced academic medical institution, was retrospectively collected. The Join system was established between Furano Kyokai Hospital and AMUH in February 2019. Data collected from patients between April 2017 and December 2018 were included in the non-Join group, and those collected between February 2019 and October 2020 were included in the Join group. Clinical variables, reasons for patient transfer requests, duration of hospital stay, and medical costs per patient were analyzed between these two groups. Furthermore, clinical characteristics were compared between patients who were transferred and not transferred based on Join.

RESULTS

More patients were discharged < 7 days after transfer to AMUH in the non-Join group compared with the Join group (p = 0.02). When focusing on the Join group, more patients who were not transferred were discharged < 1 week (p < 0.01). On the other hand, more patients required surgery (p = 0.01) when transferred. The ratio of patients whose medical cost was < USD5000 substantially decreased, from 33% for the non-Join group to 13% for the Join group.

CONCLUSIONS

An imaging technology–based telemedicine system, Join, contributed to reducing unnecessary neuro-emergency patient transfer in a remote rural area, and telemedicine with an integrated smartphone system allowed medical personnel to effectively triage at a distance neuro-emergency patients requiring advanced tertiary care.

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.