National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 1 of 1 Research Studies DisplayedHershberger PJ, Pei Y, Bricker DA
Advancing motivational interviewing training with artificial intelligence: ReadMI.
The research team developed and tested a training tool, Real-time Assessment of Dialogue in Motivational Interviewing (ReadMI), that uses natural language processing to provide immediate motivational interviewing (MI) metrics and thereby address the need for more effective MI training. They found that the more time a physician spent talking, the less likely the physician was engaging in MI-consistent interview behaviors, including open-ended questions, reflective statements, or use of a change ruler. They concluded that ReadMI produced specific metrics that a trainer can share with a student, resident, or clinician for immediate feedback.
AHRQ-funded; HS026548.
Citation: Hershberger PJ, Pei Y, Bricker DA .
Advancing motivational interviewing training with artificial intelligence: ReadMI.
Adv Med Educ Pract 2021 Jun 4;12:613-18. doi: 10.2147/amep.S312373..
Keywords: Lifestyle Changes, Clinician-Patient Communication, Patient and Family Engagement