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Managing clinical failure: a complex adaptive system perspective.

Jean I Matthews1, Paul T Thomas

  • 1Glamorgan Business School, University of Glamorgan, Cardiff, UK.

International Journal of Health Care Quality Assurance
|June 26, 2007
PubMed
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Clinical learning thrives in collaborative networks within the National Health Service (NHS). Bureaucratic structures hinder this adaptive learning, emphasizing the need for supportive management over rigid control.

Area of Science:

  • Healthcare Management
  • Organizational Learning
  • Complex Adaptive Systems

Background:

  • Knowledge capture is crucial for adaptive learning in healthcare.
  • Understanding factors influencing clinical learning within the National Health Service (NHS) is essential.
  • Complex adaptive systems principles offer a framework for analyzing healthcare learning processes.

Purpose of the Study:

  • To explore knowledge capture processes at the clinical level.
  • To identify factors enabling or constraining clinical learning.
  • To apply complex adaptive systems thinking to reconcile learning within the NHS.

Main Methods:

  • Qualitative exploratory study with an interpretative stance.
  • Conducted in a secondary care NHS Trust.

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  • Utilized semi-structured interviews with healthcare practitioners and managers involved in risk management.

    • Main Results:

    • Revealed a network structure supporting knowledge capture and adaptive learning through communication and interdependence.
    • Highlighted the role of collaborative multidisciplinary communities valuing local priorities, open dialogue, and reflection.
    • Identified bureaucratic characteristics (rule-based culture, hierarchy, centralized governance) as barriers to clinical learning.

    Conclusions:

    • Locally emergent collaborative processes are vital for knowledge capture and learning from failure.
    • Reporting mechanisms should support both governance and learning by contextualizing lessons.
    • Managers should foster collaborative networks rather than direct processes, influencing and supporting knowledge capture.