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Eye opener: exploring complexity using rich pictures.

Sayra Cristancho1

  • 1Centre for Education Research & Innovation and Department of Surgery, Health Sciences Addition, Schulich School of Medicine and Dentistry, Western University, Room 110B, N6A 5C1, London, Ontario, Canada, Sayra.Cristancho@schulich.uwo.ca.

Perspectives on Medical Education
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Summary
This summary is machine-generated.

Exploring complex human experiences requires methods beyond reductionism. Visual methods like rich pictures offer a promising approach to understanding disruptions in professional practice, particularly in medical education research.

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Area of Science:

  • Complexity science
  • Medical education research
  • Qualitative research methods

Background:

  • Traditional reductionist approaches struggle to capture the full complexity of human experience.
  • Interviews, while common, have limitations in exploring nuanced professional practice.
  • Complexity research highlights the importance of 'disruptions' in understanding intricate systems.

Purpose of the Study:

  • To introduce the concept of 'disruptions' within complexity science.
  • To propose 'rich pictures' as a visual method for researching complex problems.
  • To explore the application of visual methods in medical education research.

Main Methods:

  • Literature review of complexity approaches and systems engineering.
  • Introduction of 'disruptions' as a key concept.
  • Proposal of 'rich pictures' as a visual research tool.

Main Results:

  • Visual methods, such as drawings, show potential for capturing complex professional practice.
  • 'Rich pictures' are identified as an effective visual method for describing and understanding complex issues.
  • The concept of 'disruptions' provides a framework for analyzing complexity.

Conclusions:

  • Visual methods offer a valuable alternative or supplement to traditional research techniques for complex phenomena.
  • 'Rich pictures' can enhance the understanding of complex problems in medical education.
  • Further research is needed to explore the full potential of visual methods in complexity research.