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RECRUITING NA

Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing

NCT06660979 · View on ClinicalTrials.gov ↗

Study Summary

The overall goal of the proposed research is to refine and adapt and perform efficacy testing of a novel reinforcement learning-based approach to personalizing EHR-based tools for PCPs on deprescribing of high-risk medications for older adults. The trial will be conducted at Atrius Health, an integrated delivery network in Massachusetts, and will intervene upon primary care providers. The investigators will conduct a cluster randomized trial using reinforcement learning to adapt electronic health record (EHR) tools for deprescribing high-risk medications versus usual care. 70 PCPs will be randomized (i.e., 35 each to the reinforcement learning intervention and usual care \[no EHR tool\] in each arm) to the trial and follow them for approximately 30 weeks. The primary outcome will be discontinuation or ordering a dose taper for the high-risk medications for eligible patients by included primary care providers, using EHR data at Atrius. The primary hypothesis is that the personalized intervention using reinforcement learning will improve deprescribing compared with usual care.

Conditions Studied

Interventions

  • BEHAVIORAL Reinforcement learning

Study Locations (1)

Massachusetts

  • Atrius Health — Boston

Trial Details

FieldValue
Enrollment Target 70 participants
Start Date 2025-08-11
Est. Completion 2026-05-31
Phase NA

Sponsor

Brigham and Women's Hospital

929 total trials

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Full Details on ClinicalTrials.gov ↗

What the Registry Record Tells You About NCT06660979

The ClinicalTrials.gov registry entry for NCT06660979 describes a study currently listed as recruiting. It is categorized as NA, which is the standard way researchers label where a study sits along the investigational pathway from early safety work through later efficacy and post-marketing evaluation. The registered enrollment target is 70 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Brigham and Women's Hospital, which has 929 total studies on file at ClinicalTrials.gov, and sponsors are the parties responsible for study design, oversight, and regulatory filings.

The record links to 1 condition, with Aging appearing as the primary indexed condition, and to 1 intervention — of which Reinforcement learning is the first listed. Interventions can include drugs, devices, procedures, behavioral programs, or observational arms, and each is tracked as a separate registry field so that downstream queries can filter accurately. When a trial lists multiple interventions, it usually reflects a multi-arm design or a comparison protocol rather than a single treatment being tested in isolation. The brief summary published in the registry is the clearest source of protocol intent and should be read before drawing conclusions from any sidebar tags.

Geographic footprint matters for practical reasons: NCT06660979 reports 1 study location spanning 1 distinct geographic area — top geographies include Massachusetts. A larger site network tends to correlate with broader recruitment capacity, but it does not imply anything about study quality, and site-level enrollment status can diverge from the overall registry status shown above. Every data point on this page comes from the public ClinicalTrials.gov dataset and is reproduced here for reference only; it is not a medical recommendation, an endorsement of the sponsor, or an invitation to enroll. Verify current status, eligibility criteria, and contact details directly at ClinicalTrials.gov, and discuss any participation decision with your own healthcare provider.

Frequently Asked Questions

What is clinical trial NCT06660979 about?

NCT06660979 is a clinical study titled "Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing". The overall goal of the proposed research is to refine and adapt and perform efficacy testing of a novel reinforcement learning-based approach to personalizing EHR-based tools for PCPs on deprescribing of high-risk medications for older adults. The trial will be conducted at Atrius Health, an integr...

What is the current status of trial NCT06660979?

This trial is currently recruiting. It is a NA study. The enrollment target is 70 participants. The study started on 2025-08-11. Estimated completion is 2026-05-31.

What conditions does trial NCT06660979 study?

This clinical trial studies the following conditions: Aging. These conditions were identified from the trial registry and reflect the primary focus areas of the research.

What interventions are being tested in trial NCT06660979?

The interventions under investigation include: Reinforcement learning (BEHAVIORAL). Each intervention is being evaluated for safety and efficacy as part of this clinical study.

Who is sponsoring clinical trial NCT06660979?

This trial is sponsored by Brigham and Women's Hospital, which has 929 total clinical trials registered on ClinicalTrials.gov. The sponsor is responsible for the study's design, funding, and regulatory compliance.

Where is trial NCT06660979 being conducted?

This trial has 1 study location across Massachusetts. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial