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AI-Assisted Thematic Analysis in a Quality Improvement Evaluation: Replicable Findings and Subtle Misrepresentations
Elena T Broaddus-Shea1,2, Steven Lockhart2, Neva M Howard3
1Department of Family Medicine, University of Colorado Anschutz, Aurora, CO.
Abstract
None:
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.
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