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A telemedicine management model based on message-trigger service.

B Hu1, J Bai, D Ye

  • 1Department of Electrical Engineering, School of Life Science and Engineering, Tsinghua University, Beijing, People's Republic of China.

Methods of Information in Medicine
|April 29, 2000
PubMed
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A new telemedicine system model uses a message-trigger service for distributed applications and communication. This approach enhances compatibility and implementation ease for telemedicine platforms, improving healthcare delivery.

Area of Science:

  • Computer Science
  • Medical Informatics
  • Distributed Systems

Background:

  • Telemedicine systems require robust communication platforms for distributed applications.
  • Existing models may lack efficient mechanisms for inter-application messaging and service triggering.
  • Cooperation between local and remote services is crucial for effective telemedicine.

Purpose of the Study:

  • To describe a novel telemedicine system model based on a message-trigger service.
  • To establish a communication platform for message exchange among distributed applications.
  • To propose a protocol for application cooperation within the telemedicine system.

Main Methods:

  • A message-trigger service architecture was developed, distributing applications across multiple computers.

Related Experiment Videos

  • A communication platform was established for inter-application message exchange.
  • Event messages were broadcast to trigger local and remote services, supported by a defined message exchange protocol.
  • Main Results:

    • The proposed model demonstrated good compatibility across distributed applications.
    • The system architecture proved to be easy to implement.
    • A teleconsultation system designed using this model validated its effectiveness.

    Conclusions:

    • The message-trigger service model provides a viable architecture for telemedicine systems.
    • The model's compatibility and ease of implementation facilitate the development of advanced telemedicine solutions.
    • This approach supports seamless cooperation between distributed services in healthcare applications.