The Digital Medicine Society (DiMe) has partnered with healthcare providers, universities, technology companies, and research centers to explore the use of data from consumer wearable devices in predicting and preventing relapse among individuals with opioid use disorder (OUD).
The initiative aims to address the high rate of relapse experienced by those in recovery from OUD, a factor contributing to the opioid epidemic in the United States.
The project will focus on identifying and measuring physiological signals and behavioral traits associated with relapse risk, using data from wearables like Fitbit and ŌURA rings.
The collected data will be analyzed using advanced AI and machine learning algorithms to identify patterns predictive of relapse, with the goal of developing a digital tool that can alert individuals and care providers to heightened relapse risk.