Opioid misuse is common among individuals with pain, yet few interventions exist to improve to safe use when opioid analgesics are indicated. Counseling interventions have shown promise for reducing opioid misuse in pilot studies, but having a sufficient workforce to provide such counseling in a timely way limits the potential reach of these interventions under traditional treatment delivery models. The PowerED study seeks to provide motivational interviewing-based messages and counseling to patients with pain after being discharged from the Emergency Department, allowing the content to be provided proximally to opioid use. Along with the CMCD group, the PowerED team developed an intervention that uses artificial intelligence (AI) to optimize the deployment of limited therapist time and complementary interactive voice response-delivered messages. The AI system selects what level of intervention a given patient should receive based on their answers to brief daily questions of recent opioid use and pain experiences and extensive prior data about that patient and similar patients.
For more information, contact Laura Thomas, at email@example.com.
For more information, contact Dr. Amy Bohnert at firstname.lastname@example.org.
Artificial Intelligence, Chronic Pain, Community, Emergency Medicine, Interactive Voice Response (IVR), Opioid Safety, U-M Health System