Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to PLOS One, the study "Navigating the potassium dilemma" interviewed 12 practising nephrologists in Spain in October 2025 to explore how clinicians manage hyperkalaemia while trying to preserve renin–angiotensin–aldosterone system inhibitor (RAASi) therapy. The PLOS One paper was published on July 30, 2026 and reports that 75% of participants had more than 15 years of experience and that binder prescribing in the prior 12 months was split 50/50 between patiromer and sodium zirconium cyclosilicate (SZC). This post explains the PLOS One findings through the lens of AI-enabled qualitative research and shows how researchers can use Evidano to replicate and extend that kind of analysis.
Run this analysis on your own data
Start freeTopics
- qualitative hyperkalaemia management
- RAASi preservation qualitative study
- nephrology qualitative research
- AI-enabled qualitative analysis
Run this analysis on your own data
Evidano codes documents, interviews, survey responses and spreadsheets with AI, with your judgment in control at every step — and a free plan that doesn't expire.
Keep reading
- Commentary on NewsLARC/PM uptake in rural Bangladesh: Qualitative analysisActionable takeaways for researchers on barriers to LARC/PM in rural Bangladesh using qualitative analysis of contraceptive uptake, with AI research workflows and next steps.
- Commentary on NewsFaster Insights: AI-enabled Qualitative AnalysisHow AI-enabled qualitative analysis turns the PLOS One study on LARC/PM in rural Bangladesh into actionable themes and program recommendations. Learn the workflow.
- Commentary on NewsImplementing Nurse-Based Follow-Up: Qualitative InsightsActionable lessons from the PLOS One qualitative study on implementing nurse-based follow-up, with AI-enabled methods for faster thematic synthesis and decision-ready findings.
