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AI could help match troubled youth to the right care setting

NCT ID NCT06815562

Completed Knowledge-focused Sponsor: Outcome Referrals, Inc. Source: ClinicalTrials.gov ↗

First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study tests a machine-learning tool called the Placement Success Predictor (PSP), designed to help clinicians decide which level of care (e.g., outpatient, residential) is best for a young person with behavioral health issues. The tool uses data from the youth to predict how well they might do in each placement. Researchers will compare outcomes for youth whose care team uses the PSP versus those who receive usual care. The goal is to see if the tool leads to better mental health and well-being three months later.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance
Placement Success Predictor (PSP) – a machine-learning clinical decision support tool
What this could lead to
If successful, this tool could help clinicians place youth in the most appropriate care setting, potentially improving mental health outcomes and reducing trial-and-error placements.
What could go wrong
This is a relatively small, early-stage study. The tool's predictions may not generalize to all settings, and the benefits may be modest or not statistically significant.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ADOLESCENT WELL-BEING MENTAL HEALTH WELLNESS

Contacts and locations

Locations

  • Outcome Referrals, Inc.

    Framingham, Massachusetts, 01701, United States

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