ID:15990 Predicting Pain Now and in the Future Through Personalized Physiologic Mobility Metrics

Objectively detecting and grading pain, particularly chronic pain, has remained an elusive goal This is in part due to its subjective and multivariate nature, and the inherent limitations in measuring and understanding pain experience at the individual level Currently, patient self reported scales of pain intensity (VAS/NRS/ serve as gold standard measures in pain management, despite known inaccuracies and bias of reporting in these measures Novel objective metrics are needed to better capture patient experience, avoid bias, and improve repeatability in order to inform physicians and patients of treatment options These metrics need to describe physiology, capture the range of changes during treatment, and ideally be suited to predicting future changes so that interventions can be taken