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Quantifying the Resilience of a Healthcare System: Entropy and Network Science Perspectives.

Désirée Klemann1,2, Windi Winasti3,4, Fleur Tournois1

  • 1Department of Gynecology and Obstetrics, Maastricht University Medical Centre+, Maastricht University, 6229 HX Maastricht, The Netherlands.

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This study introduces entropy and network science to measure healthcare system resilience. These methods quantify system strengths and weaknesses, aiding in creating more robust healthcare delivery.

Keywords:
FRAMSafety-IIcomplexityentropynetwork scienceorganizational design strategyquality of healthcarerequisite variety

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Area of Science:

  • Systems Biology
  • Network Science
  • Healthcare Management

Background:

  • Healthcare systems are complex networks facing patient health variations and uncertainties.
  • Assessing and quantifying the resilience of these systems is crucial for effective patient care.
  • Existing methods may not fully capture the dynamic nature and interconnectedness of healthcare delivery.

Purpose of the Study:

  • To apply theories of entropy, requisite variety, and network centrality to assess healthcare system resilience.
  • To quantify the strengths and weaknesses of healthcare systems and their individual components.
  • To propose organizational design improvements for enhanced healthcare system robustness.

Main Methods:

  • Utilizing entropy to measure uncertainty and variety in patient health states.
  • Employing network centrality metrics to analyze healthcare system structure and agent roles.
  • Applying organization design theories to identify system vulnerabilities and propose enhancements.

Main Results:

  • Demonstrated the quantification of healthcare system strengths and weaknesses using network analysis.
  • Illustrated how entropy and requisite variety define necessary system capabilities for patient treatment.
  • Provided examples of applying these concepts to both fictional and real-world healthcare scenarios.

Conclusions:

  • Entropy and network science offer valuable quantitative tools for assessing healthcare system resilience.
  • Understanding system interconnectedness and agent roles is key to improving robustness.
  • This framework supports the development of more adaptive and resilient healthcare systems.