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When Little Things Add Up: Harnessing Emergence Theory to Decode Complexity in Geriatric Care.

Anna Maria Izquierdo-Porrera1, Raya Elfadel Kheirbek2, John D Sorkin2,3

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Summary

Geriatric patients are complex systems influenced by multiple factors. Understanding these dynamics aids in dynamic assessment, early detection, and integrated care for older adults.

Keywords:
complexitydynamic assessmentearly‐detectionemergence

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Area of Science:

  • Gerontology
  • Complex Systems Theory
  • Biopsychosocial Health

Background:

  • Geriatric patients represent intricate systems.
  • Their health is shaped by biological, psychological, functional, and social determinants.
  • These factors interact to create emergent properties in patient health.

Purpose of the Study:

  • To explore the complex systems nature of geriatric patients.
  • To identify emergent properties like non-linear change and self-organization.
  • To understand how these properties influence clinical states and care strategies.

Main Methods:

  • Conceptual analysis of geriatric patient complexity.
  • Application of complex systems principles (non-linear dynamics, self-organization, phase transitions, path dependence).
  • Framework development for dynamic assessment and cross-domain care.

Main Results:

  • Geriatric patients exhibit emergent properties characteristic of complex systems.
  • Non-linear change, self-organization, phase transitions, and path dependence are key emergent properties.
  • These properties manifest in distinct clinical states.

Conclusions:

  • Viewing geriatric patients as complex systems provides novel insights.
  • Emergent properties are crucial for understanding clinical states.
  • This perspective supports dynamic assessment, early detection, and integrated, cross-domain care for older adults.