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AI tool aims to take the guesswork out of heart failure emergency care

NCT ID NCT06065761

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests a machine-learning tool built into electronic health records to help emergency doctors quickly assess risk in adults with acute heart failure. The tool predicts which patients are at high risk of complications and likely need hospital admission, and which low-risk patients can be safely sent home. Researchers will compare how often doctors' decisions match the tool's risk assessment, and track deaths and serious events. The goal is to improve personalized, real-time decision-making in busy emergency departments.

What this could mean

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

Active substance
machine-learning risk prediction tool
What this could lead to
If successful, this tool could help emergency doctors make faster, more accurate decisions about whether heart failure patients need to be admitted or can be safely discharged.
What could go wrong
The tool is based on a computer model, which may not work perfectly for every patient. It is being tested in one healthcare system, so results may not apply everywhere.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

About 17,459 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jan 2025

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Adult patients presenting to KPNC emergency departments with eligibility criteria

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Adult (≥18y) KPNC members treated in the ED for presumed acute heart failure Exclusion Criteria: * Children (\<18y). * Patients who left against medical advice or eloped prior to ED physician evaluation.

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Conditions

The condition(s) this trial relates to.

Emergencies heart failure

As listed by the trial registrant

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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    21 sites. The list below names each one and where it is.

  2. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Kaiser Permanente Antioch Emergency Department

    Antioch, California, 94531, United States

  • Kaiser Permanente Fremont Emergency Department

    Fremont, California, 94538, United States

  • Kaiser Permanente Fresno Medical Center

    Fresno, California, 93720, United States

  • Kaiser Permanente Manteca Medical Center

    Manteca, California, 95337, United States

  • Kaiser Permanente Modesto Medical Center

    Modesto, California, 95356, United States

  • Kaiser Permanente Oakland Emergency Department

    Oakland, California, 94611, United States

  • Kaiser Permanente Redwood City Emergency Department

    Redwood City, California, 94063, United States

  • Kaiser Permanente Richmond Emergency Department

    Richmond, California, 94801, United States

  • Kaiser Permanente Roseville Emergency Department

    Roseville, California, 95661, United States

  • Kaiser Permanente Sacramento Emergency Department

    Sacramento, California, 95825, United States

  • Kaiser Permanente San Francisco Emergency Department

    San Francisco, California, 94115, United States

  • Kaiser Permanente San Jose Emergency Department

    San Jose, California, 95119, United States

  • Kaiser Permanente San Leandro Emergency Department

    San Leandro, California, 94577, United States

  • Kaiser Permanente San Rafael Emergency Department

    San Rafael, California, 94903, United States

  • Kaiser Permanente Santa Clara Emergency Department

    Santa Clara, California, 95051, United States

  • Kaiser Permanente Santa Rosa Emergency Department

    Santa Rosa, California, 95403, United States

  • Kaiser Permanente South Sacramento Emergency Department

    Sacramento, California, 95823, United States

  • Kaiser Permanente South San Francisco Emergency Department

    South San Francisco, California, 94080, United States

  • Kaiser Permanente Vacaville Medical Center

    Vacaville, California, 95688, United States

  • Kaiser Permanente Vallejo Medical Center

    Vallejo, California, 94589, United States

  • Kaiser Permanente Walnut Creek Medical Center

    Walnut Creek, California, 94596, United States

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Other studies related to the condition(s) this trial covers.