AI tool aims to take the guesswork out of heart failure emergency care
NCT ID NCT06065761
First seen Jun 27, 2026 ยท 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 โ 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.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Kaiser Permanente Antioch Emergency Department
Antioch, California, 94531, United States
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Kaiser Permanente Fremont Emergency Department
Fremont, California, 94538, United States
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Kaiser Permanente Fresno Medical Center
Fresno, California, 93720, United States
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Kaiser Permanente Manteca Medical Center
Manteca, California, 95337, United States
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Kaiser Permanente Modesto Medical Center
Modesto, California, 95356, United States
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Kaiser Permanente Oakland Emergency Department
Oakland, California, 94611, United States
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Kaiser Permanente Redwood City Emergency Department
Redwood City, California, 94063, United States
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Kaiser Permanente Richmond Emergency Department
Richmond, California, 94801, United States
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Kaiser Permanente Roseville Emergency Department
Roseville, California, 95661, United States
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Kaiser Permanente Sacramento Emergency Department
Sacramento, California, 95825, United States
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Kaiser Permanente San Francisco Emergency Department
San Francisco, California, 94115, United States
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Kaiser Permanente San Jose Emergency Department
San Jose, California, 95119, United States
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Kaiser Permanente San Leandro Emergency Department
San Leandro, California, 94577, United States
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Kaiser Permanente San Rafael Emergency Department
San Rafael, California, 94903, United States
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Kaiser Permanente Santa Clara Emergency Department
Santa Clara, California, 95051, United States
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Kaiser Permanente Santa Rosa Emergency Department
Santa Rosa, California, 95403, United States
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Kaiser Permanente South Sacramento Emergency Department
Sacramento, California, 95823, United States
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Kaiser Permanente South San Francisco Emergency Department
South San Francisco, California, 94080, United States
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Kaiser Permanente Vacaville Medical Center
Vacaville, California, 95688, United States
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Kaiser Permanente Vallejo Medical Center
Vallejo, California, 94589, United States
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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.
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