Qualitative analysis in physical therapy helps researchers explain why a measurement tool succeeds in practice, not only whether the tool produces a score. The 2026 PLOS One study on Dutch-Flemish PROMIS computerized adaptive tests (CATs) shows how interviews can uncover workflow barriers, interpretation problems, and differences between clinician and patient perspectives. The study combined survey data from physical therapists with semi-structured interviews and thematic analysis, creating a useful model for AI-enabled qualitative research in healthcare. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and clinical research documents while preserving a transparent path from source data to themes. This article translates the study's findings into practical guidance for physical therapy researchers, implementation teams, and healthcare analysts.
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- qualitative analysis in physical therapy
- AI qualitative research healthcare
- PROMIS CAT qualitative analysis
- thematic analysis physical therapy
- AI thematic analysis
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