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Automating Delirium Severity in the ICU
Sponsor: Mayo Clinic
Summary
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.
Official title: Harnessing the Power of Technology to Transform Delirium Severity Measurement in the ICU
Key Details
Gender
All
Age Range
50 Years - Any
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2023-01-15
Completion Date
2028-05-31
Last Updated
2026-04-08
Healthy Volunteers
Not specified
Locations (1)
Mayo Clinic
Rochester, Minnesota, United States