AI alert aims to curb opioid overdoses in real time
NCT ID NCT06810076
First seen Apr 30, 2026 · Last updated Jun 22, 2026 · Updated 10 times
Summary
This study tests a machine-learning tool that gives doctors a pop-up alert when they prescribe opioids to a patient at high risk of overdose. The alert explains why the patient is at risk and suggests safer options, like prescribing naloxone or referring to pain therapy. Researchers will compare outcomes before and after the tool is used in 13 clinics, involving about 674 patients and their doctors.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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University of Florida Health Internal Medicine and Family Medicine
Gainesville, Florida, 32608, United States
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Machine-learning based clinical decision support tool (Overdose Prevention Alert)
What this could lead to
If successful, this tool could help doctors identify patients at risk of opioid overdose and take steps to prevent it, potentially reducing overdose rates.
What could go wrong
This is a small pilot study in a few clinics, so results may not apply broadly. The tool might not change doctor behavior or reduce overdoses as hoped.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.