Cloud-based integrative solution for personalized pain management

Abstract

Pain is a leading cause of discomfort and loss of efficiency, with a total of 100 million people in the United States of America suffering from acute and chronic pain conditions [1]. In many types of pain conditions, it is not possible to completely alleviate the symptoms; hence there is a need to develop techniques to manage pain effectively. Some of the clinically used pain management tools are paper based, which is cumbersome. Hence we propose a cloud based universal pain management system. Our system is designed to collect data from users about the location and type of pain experienced by them and gives clinical interventions if the pain levels are greater than a personalized threshold for an extended duration. Pilot results have demonstrated that the usability levels of a portion of our system (SMS). Following IRB approval, we hope to recruit a total of 60 patients with four different causes of pain from Emory pain clinic to show usability of the complete system.