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.

Disclaimer Read more

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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Conditions

The condition(s) this trial relates to.

familial hypercholesterolemia Hyperlipoproteinemia Type II

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