Qualitative UTI research helps healthcare teams understand why treatment decisions vary across clinicians, patients, practice staff, and pharmacies. The challenge is that interview studies contain interconnected themes about clinical judgment, trust, workload, professional roles, and communication. According to the November 11, 2026 PLOS ONE study by Andreas Plate and colleagues, 15 general practitioners took part in virtual semi-structured interviews about uncomplicated urinary tract infections in women. This article explains what the study found and shows how AI-enabled qualitative research can help healthcare researchers move from interview transcripts to defensible themes, comparisons, and decisions. Evidano is an AI-powered qualitative data analysis platform that helps healthcare researchers analyze interview transcripts, open-ended survey responses, and research documents.
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- qualitative UTI research
- AI thematic analysis healthcare
- qualitative healthcare research
- antibiotic-sparing care research
- AI qualitative data analysis
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