Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future: Intelligent ICU of the Future

Study Summary

The objective of this project is to create deep learning and machine learning models capable of recognizing patient visual cues, including facial expressions such as pain and functional activity. Many important details related to the visual assessment of patients, such as facial expressions like pain, 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, and impending clinical deterioration, often cannot be incorporated into clinical status. The study team will develop a sensing system to recognize facial and body movements as patient visual cues. As part of a secondary evaluation method the study team will assess the models ability to detect delirium.

Primary Outcome

Before discharge, patients will be shown three short video clips from their ICU admission and asked to rate their pain levels using the Defense Veterans Pain Reporting Scale. DVPRS is a 10 point visual scale used to self report pain (0-4 being mild pain; 5-7 being moderate pain; 8-10 being severe pain).

Conditions Studied

Interventions

• OTHER Video Monitoring
• OTHER Accelerometer Monitoring
• OTHER Noise Level Monitoring
• OTHER Light Level Monitoring
• OTHER Electromyographic Monitoring

Study Locations (1)