AI could help seniors leave the hospital sooner
NCT ID NCT04965480
First seen Jun 12, 2026 · Last updated Jun 22, 2026 · Updated 2 times
Summary
This study tested whether a computer program could predict which older patients (over 75) would have unnecessary days in the hospital. Researchers analyzed electronic health records from 102 patients in an acute geriatric unit. The goal was to create an algorithm that flags when a patient is likely to be stuck waiting for a transfer to a rehab facility, so hospitals can act faster.
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the original study
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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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Contacts and locations
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Locations
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CHU Amiens Picardie
Amiens, Picardie, 80054, France
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this algorithm could help hospitals identify which older patients are likely to have delayed discharge, allowing for better planning and shorter hospital stays.
What could go wrong
This is a small, completed study that developed an algorithm, not a treatment. The algorithm may not work as well in other hospitals or with different patient groups.
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.