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Construction of clinical algorithms for educational programs.

R F Ambrose1, S Brown, D D Wirtschafter

  • 1Office of Educational Research and Development, University of Alabama, Birmingham 35294.

Journal of Cancer Education : the Official Journal of the American Association for Cancer Education
|January 1, 1989
PubMed
Summary
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Clinical algorithms aid healthcare professionals in diagnosis and management. This guide offers cancer educators a process for developing these valuable instructional tools, enhancing educational programs.

Area of Science:

  • Medical Education
  • Clinical Decision Support

Background:

  • Clinical algorithms are established tools in healthcare for diagnosis and management.
  • Beyond clinical use, algorithms serve as effective standalone or supplementary educational resources.

Purpose of the Study:

  • To present a recommended algorithm development process for cancer educators.
  • To provide guidance on algorithm design conventions and writing for educational purposes.

Main Methods:

  • Describing a structured process for clinical algorithm development.
  • Reviewing algorithm design conventions and offering specific writing suggestions.

Main Results:

  • Clinical algorithms can be effectively utilized in diverse educational settings.

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  • A clear understanding of algorithms' role in facilitating, not dictating, decisions is crucial.
  • Conclusions:

    • Clinical algorithms are valuable instructional resources for cancer education.
    • Educators can leverage algorithms to enhance learning through self-instruction or lectures.