Implementation of clinical practice guidelines using the Plan-Do-Study-Act framework
Authors affiliated with the Academy of Nutrition and Dietetics, Bowling Green State University, and the University of New Mexico.
Nutrition in Clinical Practice, 2025. Open access (Wiley, for ASPEN).
How Evidano was used
The team analyzed deidentified interview data using a constructivist approach and reflexive thematic analysis (Braun and Clarke). To support triangulation, Evidano generated two independent thematic analyses: one from AI-generated coding, and one using the researchers' own codebook. Both were compared against the team's manual coding.
The authors disclosed the AI-assisted analysis in their methods and cited Evidano as the tool used. The result was a transparent, auditable workflow with the researcher in control.
How Evidano fit the workflow
- 1Deidentified interview transcripts
- 2Evidano generates two independent analyses: AI coding plus your codebook
- 3AI output compared with the team's manual coding
- 4Triangulated, researcher-validated themes
“The AI tool demonstrated continuity with manual coding and augmented our analysis and analytic reflexivity.”
“...an independent lens to complement but not replace the researcher's analysis.”
An independent lens to cross-check and strengthen your coding.
Apply your codebook or an AI-suggested one, as in the study.
Disclose and cite AI use, keeping the workflow auditable.
AI supports the analysis; the researcher makes the call.
About Evidano (previously AILYZE)
Evidano is AI-assisted qualitative data analysis software for interviews, focus groups, open-ended survey responses, and documents. It supports AI-assisted thematic analysis with your own or an AI-suggested codebook, transcription and translation in 100+ languages, clickable quotes and citations, and exportable visual reports. End-to-end encryption, no third-party data sharing, and your data is not used to train AI. From USD 50/month for unlimited analysis.
Run the first pass in days, not weeks
Keep the judgment with you. Let Evidano do the heavy lifting on your interviews, focus groups, open-ended responses, and documents.
More case studies
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Evidano ran the qualitative content analysis in a 2026 peer-reviewed clinical research study.
Health & ClinicalA 2026 peer-reviewed study used AI to strengthen its thematic analysis
How Evidano produced a complementary codebook and 11 granular themes in a 2026 peer-reviewed study.
Related published evidence
Researcher interviews and published citations covering comparable studies.
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AI-assisted qualitative analysis is moving into peer-reviewed research.
Disclosed in the methods, validated by the researcher, published in Education Sciences (2025).
2025 Peer-reviewed, published in Education Sciences
Education Sciences (MDPI)
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Published in Frontiers in Education (2026): encrypted data, human-verified themes, and a transparent AI coding workflow.
9 Teachers interviewed
Frontiers in Education
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A University of Split thesis used AI to triangulate its thematic coding
Initial thematic coding was processed through Evidano to support analytic triangulation, then reviewed and verified by the authors.
8 in-depth interviews
Croatian Digital Theses Repository (ZIR)
Explore more evidence
Researcher interviews, the wording authors published when citing Evidano, and accuracy comparisons against manual coding.
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Research spotlights: researchers in their own words
Interviews with researchers at leading universities and institutes about how they actually used Evidano in work they went on to publish.
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How Evidano was used, in published methods sections
Verbatim excerpts from 20 published studies describing what Evidano did in their analysis — as a thought partner, a second coder, for initial coding, or for synthesis.
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Methodology guides and research writing
Practical guides to qualitative methods — thematic analysis, grounded theory, evidence synthesis and more — alongside the wider Evidano article library.
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Human vs AI: validated accuracy benchmarks
Three head-to-head comparisons against expert human analysis — 371 interview transcripts with Arizona State and Penn State, 298 evaluation reports for a UN evaluation group, and UNICEF’s manual-coding review.