A Multilevel Approach to Improving Patient-Clinician Relationships and Outcomes in African American Patients With Diabetes Using Artificial Intelligence-Enhanced Motivational Interviewing Training
A Multilevel Approach to Improving Patient-Clinician Relationships and Outcomes in African American Patients With Diabetes Using Artificial Intelligence-Enhanced Motivational Interviewing Training
This research aims to optimize patient-clinician relationships through motivational interviewing training in a Federally Qualified Health Center (FQHC) to improve health outcomes for African American patients with Type 2 diabetes.
Motivational Interviewing (MI) is an evidence-based approach that has been demonstrated to increase both the patient engagement and activation necessary for effective management of chronic conditions, but is underutilized due to the inadequate training of and implementation by health professionals. This research aims to optimize patient-clinician relationships through MI training in a Federally Qualified Health Center (FQHC) to improve health outcomes for African American patients with Type 2 diabetes. MI training and cuing in this study will make use of a human-artificial intelligence (AI) teaming solution, Real-time Assessment of Dialogue in Motivational Interviewing (ReadMI), a tool that uses natural language processing to provide automatic and immediate metrics relevant for patient-clinician interaction.
Inclusion Criteria:
Exclusion Criteria:
Note: Patients of these participating residents will be invited to participate in the study by providing survey and health data at specified intervals, but these patients will not be the direct recipients of any intervention in this study. Eligible patients will be self-identifying African American individuals ages 18 and over with a diagnosis of Type 2 diabetes, and are patients of either Family Medicine or Internal Medicine residents participating in this study. The target number of patients is 200.