New ER tool aims to spot High-Risk patients faster
NCT ID NCT05400707
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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.
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.
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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Department of Emergency Medicine, University Hospital Basel
RECRUITINGBasel, 4031, Switzerland