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Problem: Clinical teams and researchers struggle to surface and validate patient experiential expertise hidden in interview transcripts. Payoff: learn how the July 14, 2026 PLOS ONE study on runners with type 1 diabetes (n=13) exposes a "glycemic meritocracy" and how to reproduce, compare, and present those findings faster with Evidano. This post shows a pragmatic workflow (import, code, compare segments, and deliver visuals) that preserves privacy and accelerates evidence synthesis for UX, health policy, and qualitative teams.
In this article
AI-enabled qualitative analysis of Heart of Oregon Corps interviews uncovers themes and visuals; run a 2-week Evidano pilot to produce stakeholder-ready briefs.
Qualitative analysis of the SOUND-BITES hearing pilot: methods, timelines, and AI workflows to turn 600+ interviews into auditable themes for funders.
AI workflow to turn SOUND‑BITES hearing‑pilot interviews into rapid qualitative insights: transcription, TDF coding, cross‑segment reports and reproducible QA steps.
AI qualitative analysis for the SOUND‑BITES pilot: automate transcription, TDF coding, and cross-segment reporting to turn interviews into stakeholder-ready themes, visuals, and secure audit trails.
AI-enabled workflow to reproduce a July 14, 2026 PLOS scoping review on alcohol use among Korean immigrant women and scale qualitative coding securely.
Playbook for qualitative analysis of AI companions, covering methods, ethics, microcodes, and a secure Evidano workflow for transcription and AI-assisted coding.
Turn Reuters' July 14, 2026 reporting on 59 unpermitted turbines near Southaven, MS into qualitative research findings with a reproducible Evidano workflow.
zra-mcp turns a Zotero library into a local RAG for PDF retrieval, with ONNX INT8 embeddings, bilingual CN↔EN expansion, and LLM-ready evidence blocks for teams.
Turn SOUND-BITES hearing program interviews into reproducible themes using secure transcripts, AI-assisted coding, and cross-segment analysis for stakeholder-ready evidence.
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