Using AI and sensors to monitor critically ill patients in the ICU

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to enhance the assessment of critically ill patients by utilizing advanced sensing technologies and deep learning algorithms. It focuses on capturing vital visual cues related to pain, delirium, and overall patient acuity that are often overlooked due to the demands on nursing staff. By integrating data from accelerometers, video monitoring, and environmental sensors, the study seeks to develop an autonomous system that can accurately predict patient conditions and improve clinical outcomes. The goal is to provide a more objective and continuous assessment of patients' health status in the ICU setting.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* aged 18 or older
* admitted to UF Health Shands Gainesville ICU ward
* expected to remain in ICU ward for at least 24 hours at time of screening

Exclusion Criteria:

* under the age of 18
* on any contact/isolation precautions
* expected to transfer or discharge from the ICU in 24 hours or less
* unable to provide self-consent or has no available proxy/LAR

Where it's running

• University of Florida Health Shands Hospital
  Gainesville, Florida, United States Recruiting

Study contacts

• Principal investigator: Azra Bihorac, MD, MS — University of Florida
• Study coordinator: Andrea E Davidson, BS
• Email: adavidson@ufl.edu
• Phone: 352-294-8723

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.