August 2026
AJMQ
Elena Broaddus, PhD, MSPH, Assistant Professor in the Department of Family Medicine (DFM), Associate Director for Research and Engagement in Partners Engaged in Achieving Change in Health (PEACHnet), and Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS) Primary Care Research Fellow, is the author of an American Journal of medical Quality publication title, “AI-Assisted Thematic Analysis in a Quality Improvement Evaluation: Replicable Findings and Subtle Misrepresentations.”
Dr. Broaddus explained that, "This study describes the exploratory work that we did using AI for a qualitative analysis and gives some concrete examples of how findings can go sideways without a lot of close human oversight."
From the article:
“Using artificial intelligence to identify themes in interview data from a quality improvement program evaluation produced 4 replicable themes grounded in the data. However, 2 consistently identified themes resulted from subtle misrepresentations and could have easily misled results without thorough data knowledge and output audit by the human research team.”
Read more of this article.