AI in Substance Use Disorders: Opportunities & Challenges

AI in Substance Use Disorders: Opportunities & Challenges

This training equips clinical providers with practical strategies and considerations for using artificial intelligence (AI) as a screening and decision-support tool to identify potential substance use disorders (SUDs) in medical settings. Participants will learn how and when AI-driven tools can enhance early detection by analyzing patient data, screening questionnaires, clinical notes, and behavioral indicators while supporting more timely and accurate interventions. The session will also address ethical considerations, patient privacy, bias mitigation, and best practices for integrating AI into existing clinical workflows. Through study results, real-world examples and case studies, providers will gain a clearer understanding of when and how AI can compliment, not replace, clinical judgment in delivering patient-centered care.

Pending CMEs provided by CT AHEC using Rural Health Transformation Program funding.

All providers are welcome!

Learning Objectives:

1. Describe the role and uses of AI in screening, prognostic prediction and treatment support for substance use disorders.

2. Identify some of the common AI-driven tools being used in the diagnosis and management of substance use disorders.

3. Evaluate the benefits and limitations of using AI in clinical decision-making, along with the role of the clinician.

4. Discuss strategies for integrating AI-supported Electronic Health Record screening tools into existing clinical workflows.

Doors open and breakfast begins at 7:30 AM.