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Fractal Geometry and the Complexity of Medical Decision-Making.

Benjamin Doolittle1, Andrew Loza1

  • 1Departments of Internal Medicine & Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.

Journal of Evaluation in Clinical Practice
|April 4, 2025
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Summary

Fractal geometry offers a new way to understand complex medical decision-making. Applying principles of wisdom, trust, and prevention can help manage healthcare complexity for better outcomes.

Keywords:
complexitydecision‐makingfractalmedicine

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Area of Science:

  • Medical Decision-Making
  • Complexity Science
  • Fractal Geometry

Background:

  • Medical decision-making is increasingly complex due to technological advances.
  • Fractal geometry, the study of self-similar patterns across scales, offers a framework to understand complex systems.
  • These patterns are observed in nature, finance, physics, and biological systems like the respiratory system.

Purpose of the Study:

  • To explore the application of fractal geometry in understanding and managing medical decision-making complexity.
  • To propose a framework for confronting the growing complexity in healthcare.
  • To identify strategies for optimizing medical decision-making processes.

Main Methods:

  • Conceptual framework utilizing fractal geometry.
  • Visualization of medical care plans as fractal trees.
  • Proposition of three key principles for pruning complexity.

Main Results:

  • Fractal geometry provides a lens to view the complexity inherent in medical decision-making.
  • Medical care plans can be visualized as complex fractal trees.
  • Pruning these trees requires wisdom, trust, and prevention.

Conclusions:

  • Wisdom, trust, and prevention are essential tools for managing the complexity of medical decision-making.
  • Applying fractal geometry principles can lead to more optimal healthcare outcomes.
  • This approach helps to simplify complex medical pathways while ensuring favorable results.