Mobile Peer-Support for Opioid Use Disorders: Refinement of an Innovative Machine Learning Tool
Caroline R Scherzer1,2, Megan L Ranney1,3, Shrenik Jain4
1Department of Emergency Medicine, Rhode Island Hospital, 593 Eddy Street, Providence, RI 02903, USA.
Journal of Psychiatry and Brain Science
|March 10, 2020
Summary
A new AI-powered app, Marigold, offers secure, 24/7 peer support for Opioid Use Disorder (OUD) patients, enhancing recovery engagement and safety through intelligent content moderation.
Area of Science:
- Digital Health
- Artificial Intelligence in Medicine
- Substance Use Disorder Treatment
Background:
- Many Opioid Use Disorder (OUD) patients lack formal treatment access.
- Online platforms offer peer support but lack security and moderation.
- Peer interaction is vital for recovery, improving self-efficacy and reducing relapse.
Purpose of the Study:
- To develop a secure, AI-enabled mobile platform for OUD peer support.
- To enhance engagement and safety in online addiction recovery communities.
- To provide a scalable adjunct to traditional OUD clinical treatment.
Main Methods:
- Pilot study of the Marigold App with 40 adults on buprenorphine treatment.
- Six-week prospective cohort study for feasibility and content analysis.
- Qualitative interviews to assess platform usability and acceptability.
Main Results:
- The Marigold App provides 24/7 tailored chat support for OUD patients.
- AI tools flag critical content, ensuring safer peer interactions.
- The study will assess AI tool robustness and platform adoptability in OUD patients.
Conclusions:
- AI-driven mobile platforms can offer secure and effective peer support for OUD.
- Marigold has the potential to improve treatment engagement and recovery outcomes.
- This technology addresses limitations of current online support systems for addiction recovery.
Keywords:
applicationmachine-learningmobile treatmentnatural language processingopioid use disorderpeer supporttechnologyMore Related Videos
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