AI steps in to keep HIV patients out of the ER

NCT ID NCT07279376

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests a computer program that predicts which HIV patients are most likely to need emergency care in the next two weeks. Care managers use this list to reach out and offer support, compared to usual care where they rely on schedules and judgment. The goal is to see if this smart alert system can reduce ER visits and hospital stays while improving viral suppression and immune health. About 2,600 HIV patients are taking part.

What this could mean

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

Active substance

predictive emergency room alerts (pERA) - a machine-learning algorithm

What this could lead to

If successful, this could help care managers better support HIV patients, reducing emergency room visits and improving overall health outcomes.

What could go wrong

This is an early-stage implementation study, not a treatment trial. The algorithm may not work as expected in real-world settings, and results may not apply to all HIV care programs.

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.

AIDS Emergencies HIV infectious disease

As listed by the trial registrant

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

Contacts and locations

Locations

  • Community Care Management Partners Health Home

    New York, New York, 10016, United States