New ER tool aims to spot High-Risk patients faster
NCT ID NCT05400707
First seen Jan 28, 2026 · Last updated Jun 23, 2026 · Updated 25 times
Summary
This study is testing a tool that uses vital signs and patient mobility to better predict which emergency room visitors are at risk of dying within 30 days. Researchers will track over 6,000 adults who come to the ER to see if the tool helps doctors make faster, more accurate decisions about who needs to be admitted or sent to the ICU. The goal is to improve triage and save lives.
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This is a summary of
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Department of Emergency Medicine, University Hospital Basel
RECRUITINGBasel, 4031, Switzerland
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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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 could lead to a more accurate triage system that helps doctors quickly identify high-risk patients in the emergency room.
What could go wrong
This is an observational study, not a treatment trial. The tool may not improve outcomes in practice, and results may not apply to other hospitals.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.