aceAI-Assisted Thematic Analysis in a Quality Improvement Evaluation: Replicable Findings and Subtle Misrepresentations
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.
AI-assisted analysis of interview data from a quality improvement evaluation generated four themes that were replicable and grounded in the data.
The same AI analysis consistently produced two themes based on subtle misrepresentations that could have misled evaluation results without human auditing.
Findings depend on thorough data knowledge and output audit by the human research team to prevent misleading results from AI-generated themes.
Evidence
- Peer-reviewedAmerican Journal of Medical Quality2026-08-24
How should this claim be treated?
Truvace Impact Record TRV-2026-0881, v1: “AI-Assisted Thematic Analysis in a Quality Improvement Evaluation: Replicable Findings and Subtle Misrepresentations.” Truvace, 2026-08-25. /record/TRV-2026-0881 (accessed at citation time). sha256 8fb04c8d723591d5…
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