Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

Journal: Journal of medical Internet research
PMID: 40294410

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.

Authors

  • Matthew Amer
    NHS Tayside, Ninewells Hospital, Dundee, United Kingdom.
  • Rosalind Gittins
    Aston Pharmacy School, Pharmaceutical & Clinical Pharmacy Research Group, College of Health and Life Sciences, Aston, United Kingdom.
  • Antonio Martinez Millana
    Universitat Politècnica de València, Valencia, Spain.
  • Florian Scheibein
    South East Technological University, Waterford City, Ireland.
  • Marica Ferri
    European Monitoring Centre for Drugs and Drug Addiction, Lisbon, Portugal.
  • Babak Tofighi
    Friends Research Institute, Baltimore, MD, United States.
  • Frank Sullivan
    DigitAS Project, Population and Behavioural Science Research Division, School of Medicine, University of St Andrews, St Andrews, United Kingdom.
  • Margaret Handley
    Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States.
  • Monty Ghosh
    Department of Medicine, Cumming School of Medicine, 2500 University Drive NW, Calgary, AB, Canada.
  • Alexander Baldacchino
    DigitAS Project, Population and Behavioural Science Research Division, School of Medicine, University of St Andrews, St Andrews, United Kingdom.
  • Joseph Tay Wee Teck
    DigitAS Project, Population and Behavioural Science Research Division, School of Medicine, University of St Andrews, St Andrews, United Kingdom.

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