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Telemedicine system evaluation and a collaborative model for multi-centered research

D A Perednia1

  • 1Oregon Health Sciences University, Portland 97201-3098, USA.

Journal of Medical Systems
|June 1, 1995
PubMed
Summary

Evaluating telemedicine requires large trials, which is difficult with small rural populations. A collaborative model using common data collection can overcome this challenge for telemedicine research.

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Area of Science:

  • Health Services Research
  • Medical Informatics
  • Clinical Trials

Background:

  • Evaluating telemedicine systems involves assessing safety, efficacy, clinical utility, and medical effectiveness.
  • Demonstrating telemedicine's utility and effectiveness necessitates large-scale clinical trials.
  • Small patient populations in rural telemedicine settings pose a challenge for achieving statistically valid results.

Purpose of the Study:

  • To describe a model for multi-centered collaborative telemedicine research.
  • To address the challenge of data collection for large clinical trials in telemedicine.
  • To propose a solution for pooling data from multiple telemedicine programs.

Main Methods:

  • Utilizing common data collection instruments and protocols across multiple telemedicine programs.

Related Experiment Videos

  • Establishing a collaborative research framework inspired by successful clinical oncology research groups.
  • Implementing a multi-centered cooperative group model for telemedicine research.
  • Main Results:

    • A promising model for multi-centered collaborative telemedicine research has been described.
    • The Clinical Telemedicine Cooperative Group (CTCG) serves as a potential framework.
    • This model leverages the success of collaborative research seen in groups like the Southwest Oncology Group (SWOG).

    Conclusions:

    • Collaborative research models can effectively address data limitations in telemedicine trials.
    • Pooling data through standardized protocols is a viable strategy for evaluating telemedicine.
    • The proposed model offers a pathway for robust, multi-center telemedicine research.