Automating Delirium Severity in the ICU
Recruiting now
Conditions studied: Intensive Care Unit Delirium, Encephalopathy, Delirium
In brief
The goal of this observational study is to develop a passive digital marker (PDM) for delirium severity and examine its performance in comparison to validated delirium severity tools in ICU patients \>50 years of age. The main questions it aims to answer are: * Is the trained convolutional neural network able to reliably measure delirium severity. * Is the Passive Digital Marker able to accurately measure delirium severity * Is the Passive Digital Marker acceptable and usable by frontline ICU nurse clinicians, patients, and their identified proxies (i.e., caregivers). Participants will: * Study participation involves a video camera recording you 24 hours per day while you are a patient in the Intensive Care Unit (ICU). * Study staff will visit you 4 times each day you are in the ICU. You will be asked questions each time they visit to train the digital marker and see differences between assessments and camera data.
Key facts
- Study ID
- NCT06172491
- Run by
- Mayo Clinic
- People needed
- 400
- Starts
- 2023-01-15
- Expected to finish
- 2028-05-31
- Last updated by the study team
- 2026-04-08
Who can join
Age: 50 and older. Sex: any. Healthy volunteers: not accepted.
You may not qualify if…
- Admitted for acute alcohol intoxication, drug (prescribed or illicit) overdose or withdrawal.
- Admitted for acute neuronal injury
- Unable to communicate with research team due to sensory deficits (aphasic, blind, deaf) or language (does not speak English)
Where it is running
- Mayo Clinic — Rochester, Minnesota, United States (enrolling)
Full record on ClinicalTrials.gov
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