AI watches hospital Patients' vital signs to catch decline early

NCT ID NCT07649642

Not yet recruiting Knowledge-focused Sponsor: Eske Kvanner Aasvang Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether continuous, AI-driven monitoring of vital signs can help hospital staff spot when a patient's condition is worsening. About 100 adults at risk of clinical deterioration will wear sensors that track their vital signs in real time. Nurses and doctors will rate how relevant and helpful the alerts are, aiming to improve patient safety.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Continuous vital sign monitoring device with AI algorithm
What this could lead to: If successful, this could improve how hospitals detect early signs of patient decline, potentially leading to faster care.
What could go wrong: This is a small, early-stage study focused on staff feedback, not patient outcomes. The AI may not improve care or could cause alarm fatigue.

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Conditions

The condition(s) this trial relates to.

Clinical Deterioration

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DETERIORATION, CLINICAL POSTOPERATIVE CARE

Contacts and locations

Locations

Bispebjerg Hospital

Copenhagen, 2400, Denmark
Rigshospitalet

Copenhagen, 2100, Denmark

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