AI helps doctors cut risky drugs for seniors
NCT ID NCT06660979
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This completed trial tested a computer program that learns which reminders work best for each doctor to help them reduce high-risk medications in older patients. The study involved 70 primary care providers and over 1,200 patients aged 65 and older. The program personalized electronic health record tools to encourage deprescribing, aiming to lower the use of potentially harmful drugs.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- reinforcement learning program
- What this could lead to
- If successful, this approach could help doctors safely reduce risky medications in older adults, potentially lowering side effects and improving health.
- What could go wrong
- This is a completed trial with 70 doctors, but results may not apply to other healthcare systems. The effect on patient health outcomes is not directly measured.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Atrius Health
Boston, Massachusetts, 02215, United States
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