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Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision

Don Roosan1, Anandi V Law1, Mazharul Karim1

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Diagnostic errors affect everyone, but team-based approaches using informatics can improve patient care. This study focuses on enhancing collective information management for better diagnostic decision-making in healthcare teams.

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Area of Science:

  • Healthcare Informatics
  • Medical Diagnosis
  • Team Collaboration

Background:

  • Diagnostic errors are common, impacting patient safety and outcomes.
  • Historically, diagnosis relied on individual clinicians, overlooking team dynamics.
  • Interprofessional collaboration is crucial for accurate diagnosis, especially in high-pressure settings like emergency departments.

Purpose of the Study:

  • To enhance team-based diagnostic decision-making through data analytics and informatics.
  • To improve collective information management within healthcare teams.

Main Methods:

  • Identify factors contributing to failures in team-based diagnostic decision-making.
  • Understand barriers to using current health information technology for team collaboration.
  • Develop and evaluate a collaborative decision-making prototype.

Main Results:

  • Data collection occurred between 2019 and 2020.
  • Study results are anticipated for publication in 2020-2021.

Conclusions:

  • Incorporating diagnostic rationale from all team members can improve decision-making.
  • Utilizing informatics and inclusive team approaches offers a path to reduce diagnostic errors.