AI predicts hospital return risk in home care patients
NCT ID NCT04849312
First seen Mar 22, 2026 · Last updated Apr 29, 2026 · Updated 7 times
Summary
This study looked at data from 372 patients in a home hospital program to see if a computer algorithm could predict which patients would need to be readmitted within 30 days. Researchers used information like age, medical history, and lab results to train the algorithm. The goal was to help doctors identify high-risk patients earlier and potentially prevent unnecessary readmissions.
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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.
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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Locations
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Brigham and Women's Faulkner Hospital
Boston, Massachusetts, 02130, United States
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Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Conditions
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