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Complex adaptive systems: concept analysis.

Lela M Holden1

  • 1U.S. Air Force Nurse Corps, USA. Lela.holden@offutt.af.mil

Journal of Advanced Nursing
|November 30, 2005
PubMed
Summary
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Complex adaptive systems (CAS) are collections of interconnected agents with unpredictable actions. Understanding CAS in healthcare can improve information flow and promote self-organization.

Area of Science:

  • Complexity science
  • Systems thinking
  • Interdisciplinary research

Background:

  • Life is viewed as patterns of organization, not just physical components.
  • Complexity science, a new generation of systems thinking, explores these patterns.
  • Complex adaptive systems (CAS) are a key concept within complexity science, with applications across various disciplines including healthcare.

Purpose of the Study:

  • To explicate the concept of complex adaptive systems (CAS).
  • To provide a description, antecedents, and consequences of CAS.
  • To present a model case of CAS from nursing and healthcare literature.

Main Methods:

  • A modified concept analysis approach based on Walker and Avant's methods was employed.
  • The study focused on analyzing the concept of CAS within the nursing and healthcare context.

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Main Results:

  • A complex adaptive system (CAS) comprises individual agents with freedom and interconnected actions.
  • Examples of CAS include termite colonies, financial markets, and surgical teams.
  • Chaos theory is a subset of complexity science, not synonymous with CAS.

Conclusions:

  • The application of CAS as a framework is growing in scientific research, particularly in nursing and healthcare management.
  • Focusing on connections, diversity, and interactions within healthcare systems enhances information flow and self-organization.
  • Complexity science complements the nursing tradition of viewing patients and care from a systems perspective.