AI-Augmented Motivational Interviewing Training for Primary Care

Summary

This study will examine the impact of training primary care providers (PCPs) in motivational interviewing (MI) using artificial intelligence (AI) to augment the training process. MI is a patient-centered approach to engaging patients in their own care. There will be a control group and two intervention groups, with the intervention groups receiving a different amount of MI training. The hypothesis is that the AI-augmented MI training will result in improved patient outcomes, improved clinician wellbeing, and reduced behavioral manifestation of clinician biases. This mixed-methods project will also collect qualitative data from structured interviews and focus groups with participating PCPs to examine perceived facilitators and barriers to the use of the MI approach in primary care.

Conditions

• Multiple Chronic Conditions
• Patient Engagement
• Burnout, Professional
• Motivational Interviewing
• Implicit Bias

Interventions

BEHAVIORAL

Basic AI (artificial intelligence)-Augmented Motivational Interviewing Training

Basic participants will participate in two motivational interviewing (MI) training sessions that involve role-play practice of MI. Artificial intelligence (AI) will be used to provide metrics on MI-skills (percentage of the time the clinician talks, use of open-ended questions, use of closed-ended questions, use of reflective statements, use of 0-10 scales) as measured by the ReadMI™ tool (Real-time Evaluation of Dialogue in Motivational Interviewing), and both the spirit of MI and presence of bias as measured by Dougall GPT.

BEHAVIORAL

Plus AI (artificial intelligence)-Augmented Motivational Interviewing Training

Plus participants will participate in four motivational interviewing (MI) training sessions that involve role-play practice of MI. Artificial intelligence (AI) will be used to provide metrics on MI-skills (percentage of the time the clinician talks, use of open-ended questions, use of closed-ended questions, use of reflective statements, use of 0-10 scales) as measured by the ReadMI™ tool, and both the spirit of MI and presence of bias as measured by Dougall GPT.

Sponsors & Collaborators

• Premier Health

  collaborator OTHER

• Wright State University

  lead OTHER

Principal Investigators

• Paul J Hershberger, PhD · Wright State University Boonshoft School of Medicine

Study Design

Allocation

RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

21 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2025-07-01

Primary Completion

2028-06-30

Completion

2028-06-30

Countries

• United States

Study Locations