Could wearable sensors spot delirium before doctors do?

NCT ID NCT02465307

Ongoing Knowledge-focused Sponsor: University of Florida Source: ClinicalTrials.gov ↗

First seen Jul 21, 2026 · Last updated Jul 22, 2026 · Updated 1 time

Summary

This study explores whether wearable accelerometers and cameras can automatically detect delirium in intensive care unit patients by tracking changes in movement and facial expressions. Delirium, a sudden state of confusion, often goes undetected despite being common in hospitalized patients. The research aims to see if this technology can reliably identify delirium, potentially enabling earlier intervention.

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 an automated system that helps doctors detect and prevent delirium in hospital patients earlier.
What could go wrong: This is a small pilot study focused on feasibility, so the technology may not prove accurate enough for real-world use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Confusion delirium Facial Expression

As listed by the trial registrant

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

CONFUSION DELIRIUM

Contacts and locations

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Locations

UF Health

Gainesville, Florida, 32610, United States

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