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Virtual patient activity patterns for clinical learning.

Rachel Ellaway1, David Topps2, Sonya Lee2

  • 1Division of Human Sciences, Northern Ontario School of Medicine, , Sudbury, Ontario, Canada.

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Summary
This summary is machine-generated.

This study introduces five activity patterns for using virtual patients in clinical education. These patterns enhance learning beyond independent study, offering diverse applications for educators.

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Area of Science:

  • Medical Education
  • Health Professions Education
  • Digital Learning Tools

Background:

  • Virtual patients are interactive software tools simulating patient cases for learner training.
  • Existing research emphasizes virtual patient design, with less focus on their integration into broader educational activities.
  • This article presents novel activity patterns for utilizing virtual patients in clinical teaching.

Purpose of the Study:

  • To describe five distinct activity patterns for incorporating virtual patients into clinical teaching.
  • To demonstrate how virtual patients can be used in diverse educational contexts beyond standalone exercises.
  • To encourage clinical educators to explore varied uses of virtual patients in curriculum design.

Main Methods:

  • The five activity patterns were developed inductively from extensive clinical teaching experience.
  • Patterns include independent study, collaborative group, blended, bridging, and reference activities.
  • The approach considers varying levels of virtual patient complexity for different activities.

Main Results:

  • Five effective activity patterns for virtual patient integration were identified: independent study, collaborative group, blended, bridging, and reference.
  • These patterns have proven useful across various teaching contexts and over time.
  • The described patterns facilitate broader and more effective use of virtual patients.

Conclusions:

  • Virtual patients offer versatile educational applications beyond traditional independent study modules.
  • Clinical teachers can leverage these activity patterns to enrich their teaching strategies.
  • Tailoring virtual patient complexity to specific activity types optimizes their educational impact.