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Recruiting Not applicable Interventional

AI-driven Clinical Decision Support to Reduce Hospital-Acquired Venous Thromboembolism: Study Protocol for the VTE-AI Randomized Trial.

ClinicalTrials.gov ID: NCT06939803

Public ClinicalTrials.gov record NCT06939803. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

ClinicalTrials.gov public records Last synced Sep 2, 2026, 10:46 PM EDT

Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.

Official title

AI-driven Clinical Decision Support to Reduce Hospital-Acquired Venous Thromboembolism

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

Hospital-acquired blood clots (HA-VTE) are the leading cause of death in hospitalized patients in the US. Each year, about 900,000 people get blood clots, costing between $7 and $10 billion in medical expenses. HA-VTE is the second leading cause of long-term disability and causes significant health issues and deaths in both adults and children. About 1 in 3 people who get blood clots experience long-term complications. Reducing HA-VTE is a major challenge. This study will test a new AI method to predict and prevent HA-VTE. The goal is to see if this AI tool can reduce the number of HA-VTE cases in the Vanderbilt Health System, which includes both urban and rural hospitals. The AI tool, called VTE-AI, calculates a risk score without needing input from doctors. It will suggest reconsidering blood clot prevention measures for patients who don't have them ordered and have no reasons to avoid them. This suggestion will be made after admission and daily during the hospital stay. Currently, doctors manually calculate a risk score and choose a prevention option. This study will compare the effectiveness of the AI tool against the current manual method in reducing HA-VTE cases. The study will randomly assign half of the patients to use the AI tool and the other half to the standard manual method.

Study identification

NCT ID
NCT06939803
Recruitment status
Recruiting
Study type
Interventional
Phase
Not applicable
Enrollment
2,236 participants

Conditions and interventions

Interventions

Other

Eligibility (public fields only)

Age range
Not listed
Sex
All
Healthy volunteers
Healthy volunteers not accepted

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Dec 16, 2025
Primary completion
Dec 15, 2026
Completion
Mar 30, 2027
Last update posted
Feb 12, 2026

2025 – 2027

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
Vanderbilt University Medical Center Nashville Tennessee 37203 Recruiting

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT06939803, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Feb 12, 2026 · Synced Sep 2, 2026

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Open the official record

The complete protocol, eligibility criteria, and contact information for NCT06939803 live on ClinicalTrials.gov.

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