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Updated: May 25, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Whole complementary and alternative medical systems and complexity: creating collaborative relationships.

Marja Verhoef¹, Mary Koithan, Iris R Bell

¹Department of Community Health Sciences and Medicine, University of Calgary, Canada.

Forschende Komplementarmedizin (2006)

|February 14, 2012

Summary

Researchers are developing new methods to study complex whole systems of complementary and alternative medicine (WS-CAM). This approach addresses limitations in conventional research for patient-centered CAM treatments.

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Last Updated: May 25, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Area of Science:

Integrative Medicine
Complex Systems Science
Alternative Medicine Research

Background:

Conventional biomedical research models face limitations in evaluating complex whole systems of complementary and alternative medicine (WS-CAM).
Existing study designs struggle to capture the synergistic effects and individualization inherent in WS-CAM.
A need exists for research methodologies that accommodate the complexity and patient-centered nature of WS-CAM.

Purpose of the Study:

To address limitations in current WS-CAM research methodologies.
To explore complex/nonlinear dynamical sciences perspectives for studying WS-CAM.
To foster collaborative research between CAM practitioners and complexity scientists.

Main Methods:

A 2009 workshop convened 14 complexity scientists with CAM researchers.
Discussions focused on analytical techniques from complex/nonlinear dynamical sciences.
The workshop aimed to establish collaborations and develop research protocols for patient-centered CAM studies.

Main Results:

Identification of analytical techniques suitable for complex systems research in CAM.
Establishment of interdisciplinary working relationships between CAM and complexity scientists.
Initiation of collaborative research projects focused on patient-centered CAM treatment responses.

Conclusions:

A complex systems approach is necessary for robust WS-CAM research.
Interdisciplinary collaboration is key to advancing the scientific understanding of WS-CAM.
New research frameworks are emerging to better evaluate the efficacy of individualized, patient-centered CAM therapies.