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Understanding diagnostic processes in emergency departments: a mixed methods case study protocol.

Michelle Daniel1, SunYoung Park2, Colleen M Seifert3

  • 1Emergency Medicine, University of California San Diego School of Medicine, La Jolla, California, USA midaniel@health.ucsd.edu.

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This summary is machine-generated.

This study maps emergency department diagnostic processes to identify weaknesses and improve patient safety. Understanding these complex interactions is key to developing strategies that reduce diagnostic errors.

Keywords:
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Area of Science:

  • Healthcare Research
  • Medical Informatics
  • Cognitive Science

Background:

  • Diagnostic processes in emergency departments (EDs) are complex, involving numerous human-system interactions.
  • A deeper understanding of these processes is crucial for mitigating diagnostic errors and enhancing patient safety.

Purpose of the Study:

  • To map diagnostic processes within academic emergency departments.
  • To establish a foundation for developing targeted error mitigation strategies.
  • To identify strengths and vulnerabilities in current diagnostic workflows.

Main Methods:

  • Prospective mixed methods case study design in adult and pediatric academic EDs.
  • Utilized the modified ED-National Academies of Sciences, Engineering and Medicine (NASEM) model and cognitive theories.
  • Data collection included audio recordings, electronic health records, observations, and stakeholder interviews.

Main Results:

  • The study protocol is designed to comprehensively map diagnostic processes.
  • Analysis will focus on information flow, human-human and human-system interactions, and cognitive factors.
  • Identified strengths and vulnerabilities will inform future interventions.

Conclusions:

  • This foundational research will illuminate diagnostic process intricacies in ED settings.
  • Findings will guide the development of interventions to reduce diagnostic errors.
  • The study aims to improve patient safety through enhanced diagnostic strategies.