AI and nudge tactics aim to catch hidden high cholesterol
NCT ID NCT05746247
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study uses a machine-learning tool to scan electronic health records and flag patients likely to have familial hypercholesterolemia (FH), a genetic condition causing very high cholesterol. Researchers then test a simple referral system that automatically schedules a visit with a lipid specialist unless the doctor opts out. The goal is to see if this approach leads to more diagnoses and better cholesterol management in 750 patients at Penn Medicine.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Centralized referral mechanism (default/opt-out referrals) and telehealth appointments with a lipid specialist
- What this could lead to
- If successful, this approach could help many more people with familial hypercholesterolemia get diagnosed and treated earlier, reducing their risk of heart disease.
- What could go wrong
- This is an early-stage implementation study, not a treatment trial. It tests a referral process, not a new drug or cure, so the direct health impact depends on follow-up care.
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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
-
University of Pennsylvania Health System
Philadelphia, Pennsylvania, 19146, United States
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