This brief builds on a team-based care framework by describing how AI may be integrated into the diagnostic team. We must think carefully about how to incorporate safe and effective AI into diagnostic teams. While the structure and function of PCA diagnostic teams have not been defined, AI is primed to become an essential member of diagnostic teams. Therefore, patients and clinicians will need to learn to leverage the benefits and understand the limitations of AI, instead of viewing it as a “third wheel” in their relationship.45 As PCA diagnostic teams develop, it is useful to consider a framework for ensuring that these teams are high functioning and designed to meet the goal of improving diagnostic safety.
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Reimagining Healthcare Teams: Leveraging the Patient-Clinician-AI Triad To Improve Diagnostic Safety
Conclusion
Table of Contents
- Reimagining Healthcare Teams: Leveraging the Patient-Clinician-AI Triad To Improve Diagnostic Safety
- Introduction
- The Patient-Clinician Dyad
- The Patient-Artificial Intelligence Dyad
- The Clinician-Artificial Intelligence Dyad
- The Patient-Clinician-Artificial Intelligence Triad
- Core Principles for the PCA Diagnostic Team
- Barriers
- Conclusion
- References
Page last reviewed July 2023
Page originally created July 2023
Internet Citation: Conclusion. Content last reviewed July 2023. Agency for Healthcare Research and Quality, Rockville, MD.
https://www.ahrq.gov/diagnostic-safety/resources/issue-briefs/dxsafety-reimagining-healthcare-teams-8.html