University of Florida
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.
The under-assessment of pain is one of the primary barriers to the adequate treatment of pain in critically ill patients, and is associated with many negative outcomes such as chronic pain after discharge, prolonged mechanical ventilation, longer ICU stay, and increased mortality risk. Many ICU patients cannot self-report their pain intensity due to their clinical condition, ventilation devices, and altered consciousness. The monitoring of patients' pain status is yet another task for over-worked nurses, and due to pain's subjective nature, those assessments may vary among care staff. These ch…
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
continuous video monitoring
continuous accelerometer monitoring of patient movements
continuous environmental noise monitoring
continuous environmental light monitoring
continuous environmental air quality monitoring
continuous EKG monitoring
continuous vitals monitoring (heart rate, oxygen saturation)
blood and urine samples collected once on Day 1 and once on Day 2
done daily on delirious patients to subtype delirium