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Telemedicine 3.0: The Real Anywhere and Anytime.

Hiroyuki Takao1,2, Kohei Takeshita1, Kenichiro Sakai3

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This summary is machine-generated.

Telemedicine adoption in Japan is growing, but research, guidelines, and support need improvement. Learning from successful international models like Telestroke can advance Japanese telemedicine.

Keywords:
digital technologyguidelineshealthcare policyresearch and developmenttelemedicine

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Area of Science:

  • Medical Informatics
  • Health Services Research
  • Digital Health

Background:

  • Clinical telemedicine applications using digital technology are expanding in Japan.
  • Current support for telemedicine research, development, and guideline formulation is inadequate.
  • International telemedicine systems, such as Telestroke, have advanced due to established guidelines and evidence.

Purpose of the Study:

  • To assess the current state of telemedicine in Japan.
  • To identify barriers to telemedicine expansion in Japan.
  • To propose strategies for advancing telemedicine in Japan based on international best practices.

Main Methods:

  • Review of current telemedicine initiatives in Japan.
  • Comparative analysis of international telemedicine systems (e.g., Telestroke).
  • Analysis of factors contributing to the success of telemedicine in other countries.

Main Results:

  • While demand for telemedicine is high in Japan, progress is hindered by insufficient R&D support and established guidelines.
  • The Telestroke system exemplifies successful telemedicine implementation driven by early guideline establishment and evidence accumulation.
  • Optimization of support programs and strategic evidence generation are crucial for telemedicine advancement.

Conclusions:

  • Japan's telemedicine sector requires enhanced support structures and strategic evidence production to match international leaders.
  • Adopting successful models and optimizing support programs can propel Japanese telemedicine to a new stage of development.
  • Government and organizational involvement in evidence generation is key to overcoming current limitations.