Abstract
In this viewpoint, we explore the use of big data analytics and artificial intelligence (AI) and discuss important challenges to their ethical, effective, and equitable use within opioid use disorder (OUD) treatment settings. Applying our collective experiences as OUD policy and treatment experts, we discuss 8 key challenges that OUD treatment services must contend with to make the most of these rapidly evolving technologies: data and algorithmic transparency, clinical validation, new practitioner-technology interfaces, capturing data relevant to improving patient care, understanding and responding to algorithmic outputs, obtaining informed patient consent, navigating mistrust, and addressing digital exclusion and bias. Through this paper, we hope to critically engage clinicians and policy makers on important ethical considerations, clinical implications, and implementation challenges involved in big data analytics and AI deployment in OUD treatment settings.
| Original language | English |
|---|---|
| Article number | e58723 |
| Number of pages | 15 |
| Journal | Journal of Medical Internet Research |
| Volume | 27 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 28 Apr 2025 |
Keywords
- AI
- algorithm
- artificial intelligence
- big data
- deep learning
- early detection
- early warning
- machine learning
- ML
- opioid
- opioid use
- opioid use disorder
- practical model
- predictive analytics
- predictive model
- predictive system
- substance use
- substance use disorder
ASJC Scopus subject areas
- Health Informatics