AI and Alert Fatigue: Can Artificial Intelligence Reduce Missed Diagnoses in Medicine?
By
F. Perry Wilson, MD, MSCE
Summary
Dr. F. Perry Wilson from Yale School of Medicine examines the potential of AI to reduce diagnostic errors in medicine, while highlighting the critical problem of alert fatigue. The article explores how AI tools could help doctors catch missed diagnoses by filtering through the overwhelming number of alerts and alarms in clinical settings like ICUs, where clinicians become desensitized to warnings. The piece argues that for AI to be truly useful in healthcare, the underlying issue of alert fatigue must first be addressed, as simply adding more AI-generated alerts could worsen the problem rather than solve it.
Source
Key quotes
· 3 pulledThere's a well-described concept in clinical medicine known as alert fatigue.
It's a real neurologic process where the brain starts to tune out alerts and alarms in an environment with a lot of alerts and alarms.
For AI to be useful, we must also tackle the problem of alert fatigue.
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