Mobile Peer Support for Opioid Use Disorders: Refinement of an Innovative Machine Learning Tool

Beacon Tech, Inc., Boston MA

Investigators

Linked publications, trials & patents

Abstract

PROJECT SUMMARY This proposal develops a novel, artificial-intelligence (AI) enabled, mobile treatment delivery method that fulfills the need for a robust, secure, technology-based peer support platform to support patients with opioid use disorders (OUDs). The majority of individuals with OUDs in the United States do not receive any formal substance use treatment, and growing evidence suggests that many OUD patients turn to online social platforms to access peer support and obtain health-related information about addiction and recovery. While engagement with peers before and during recovery is a key component of many evidence-based addiction recovery programs, commonly-used online social platforms (e.g. Reddit) lack effective content moderation, with inappropriate messages ranging from misinformed advice to maliciousness. This lack of oversight precludes a deeper integration of peer support and clinical care. Our mobile platform allows patients to access a tailored support group 24/7, and is augmented with AI tools capable of understanding the emotional sentiment in messages, automatically `flagging' critical or clinically relevant content, creating a scalable system to keep groups safe and constructive. This phase I proposal demonstrates the robustness of these AI tools by adapting them to catch OUD-specific `flags' in peer messages while also examining the adoptability of the platform itself within OUD patients. A subsequent phase II proposal will test tailored, real-time interventions to `flags', allowing the commercialization of a system to harness the engagement and self-disclosure of peer groups in a clinical setting.