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A method for determining information flow breakdown in clinical systems.

Julia Galliers1, Stephanie Wilson, James Fone

  • 1Centre for HCI Design, City University, Northampton Square, London EC1V 0HB, UK. jrg@soi.city.ac.uk

International Journal of Medical Informatics
|July 4, 2006
PubMed
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Determining Information flow Breakdown (DIB) analyzes clinical adverse events by examining information flow failures. This method supports organizational learning and IT solution design for patient safety improvements.

Area of Science:

  • Healthcare Informatics
  • Patient Safety
  • Organizational Learning

Background:

  • Adverse events in clinical settings pose significant risks.
  • Existing analysis methods may not fully capture system-wide failures.
  • Organizational learning from adverse events is crucial for improving care.

Purpose of the Study:

  • To introduce and explain the Determining Information flow Breakdown (DIB) method.
  • To analyze adverse events from the perspective of information flow disruptions.
  • To facilitate organizational learning and the design of IT solutions for patient safety.

Main Methods:

  • Developed and refined using a case study approach.
  • Employs principles of distributed cognition for a system-wide failure view.

Related Experiment Videos

  • Investigates all system elements related to patient care aspects to identify causes of adverse events.

    • Main Results:

    • The DIB method provides a framework for analyzing information flow breakdowns.
    • Case study application demonstrates DIB's utility in identifying causes of actual and potential adverse events.
    • The method supports a proactive and reactive approach to patient safety.

    Conclusions:

    • Determining Information flow Breakdown (DIB) is an effective method for analyzing adverse events in clinical environments.
    • The method promotes a deeper understanding of failures by focusing on information flow.
    • DIB serves as a foundational step for designing IT solutions that enhance patient safety and organizational learning.