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Decision-making in healthcare as a complex adaptive system.
1University of Ottawa, Ottawa, Ontario, Canada. kuziemsky@telfer.uottawa.ca.
Healthcare management requires new decision-making strategies due to its complex nature. Complex Adaptive Systems (CAS) offer a framework to improve healthcare decision-making and transformation.
Area of Science:
- Healthcare Management
- Systems Science
- Organizational Behavior
Background:
- Healthcare transformation necessitates adapting business practices.
- Traditional decision-making models fail in complex healthcare environments.
- The inherent unpredictability of healthcare delivery challenges conventional approaches.
Purpose of the Study:
- Review challenges of traditional decision-making in healthcare.
- Explore the application of Complex Adaptive Systems (CAS) in healthcare management.
- Propose a system model for CAS-informed healthcare decision-making.
Main Methods:
- Literature review of decision-making in healthcare.
- Analysis of Complex Adaptive Systems (CAS) principles.
- Development of a conceptual system model for healthcare as a CAS.
Main Results:
- Traditional decision-making is ill-suited for healthcare's complexity.
- CAS principles provide valuable insights for healthcare management.
- A system model can guide adaptive decision-making in healthcare.
Conclusions:
- Healthcare transformation demands a shift from traditional to adaptive management.
- Complex Adaptive Systems (CAS) offer a robust framework for navigating healthcare complexity.
- Implementing a CAS model can enhance healthcare decision-making and organizational resilience.
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