AI alert system aims to slash deadly hospital blood clots
NCT ID NCT06939803
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
Hospital-acquired blood clots are a leading cause of death in U.S. hospitals. This study tests an AI tool called VTE-AI that automatically identifies patients at high risk for clots and alerts doctors if prevention hasn't been ordered. Over 2,200 patients across four hospitals will be randomly assigned to either the AI tool or the standard manual risk assessment. The goal is to see if the AI approach reduces the number of blood clots that develop during hospital stays.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-driven clinical decision support tool (VTE-AI)
- What this could lead to
- If successful, this AI tool could help hospitals prevent dangerous blood clots in patients, reducing deaths and long-term complications.
- What could go wrong
- This is a single health system study; results may not apply elsewhere. The AI might generate too many alerts, causing alert fatigue, or fail to reduce clots significantly.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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.
Contacts and locations
Locations
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Vanderbilt University Medical Center
RECRUITINGNashville, Tennessee, 37203, United States