Pervasive Sensing and AI in Intelligent ICU

Summary

Important information related to the visual assessment of patients, such as facial expressions, head and extremity movements, posture, and mobility are captured sporadically by overburdened nurses, or are not captured at all. Consequently, these important visual cues, although associated with critical indices such as physical functioning, pain, delirious state, and impending clinical deterioration, often cannot be incorporated into clinical status. The overall objectives of this project are to sense, quantify, and communicate patients' clinical conditions in an autonomous and precise manner, and develop a pervasive intelligent sensing system that combines deep learning algorithms with continuous data from inertial, color, and depth image sensors for autonomous visual assessment of critically ill patients. The central hypothesis is that deep learning models will be superior to existing acuity clinical scores by predicting acuity in a dynamic, precise, and interpretable manner, using autonomous assessment of pain, emotional distress, and physical function, together with clinical and physiologic data.

Conditions

• Critical Illness
• Pain
• Delirium
• Confusion

Interventions

OTHER

Video Monitoring

continuous video monitoring

OTHER

Accelerometer Monitoring

continuous accelerometer monitoring of patient movements

OTHER

Noise Level Monitoring

continuous environmental noise monitoring

OTHER

Light Level Monitoring

continuous environmental light monitoring

OTHER

Air Quality Monitoring

continuous environmental air quality monitoring

OTHER

EKG Monitoring

continuous EKG monitoring

OTHER

Vitals Monitoring

continuous vitals monitoring (heart rate, oxygen saturation)

OTHER

Biosample Collection

blood and urine samples collected once on Day 1 and once on Day 2

OTHER

Delirium Motor Subtyping Scale 4 (DMSS-4)

done daily on delirious patients to subtype delirium

Sponsors & Collaborators

• National Institute of Neurological Disorders and Stroke (NINDS)

  collaborator NIH

• National Institute for Biomedical Imaging and Bioengineering (NIBIB)

  collaborator NIH

• University of Florida

  lead OTHER

Principal Investigators

• Azra Bihorac, MD, MS · University of Florida

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2021-05-24

Primary Completion

2026-12-31

Completion

2026-12-31

Countries

• United States

Study Locations