Category: Grant

The under-assessment of pain response 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. Currently, existing nonverbal pain assessment scales are based on manual assessment […]

Our proposal on “Automated Integration of Patient-Generated Data with the Electronic Health Record Data”, PI, Rashidi, has been selected for funding by CTSI-UFII. Abstract: In recent years, patients have increasingly been using mobile health (mHealth) applications for monitoring their health conditions. While existing sensors and devices generate useful information for the patients, currently such information is […]