Massive database could help hospitals spot patients in danger
NCT ID NCT04983082
First seen Jun 29, 2026 · Last updated Jun 30, 2026 · Updated 1 time
Summary
This study creates a large, anonymized database of routine hospital records from up to 750,000 adult patients. Researchers will use this data to develop and test computer models that predict serious outcomes like death, unexpected ICU admission, or cardiac arrest. The goal is to improve how hospitals identify and care for high-risk patients.
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 database could help doctors better predict which hospital patients are at risk of serious complications, potentially saving lives through earlier intervention.
- What could go wrong
- This is an observational database study, not a treatment trial. The risk models developed may not work perfectly in all patient groups or hospitals.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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Queen Alexandra Hospital
RECRUITINGPortsmouth, Hampshire, PO6 3LY, United Kingdom