Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to RAND's August 17, 2026 report, primary care clinics in Puerto Rico operate under compounding financial, workforce, infrastructural, and environmental constraints that threaten continuity and quality of care. According to RAND on August 17, 2026, understanding clinic-level strategies that sustain services under chronic stress and recurrent disasters can yield practical resilience lessons for safety-net and rural primary care settings. The RAND study used 25 semi-structured interviews conducted in Spanish between May and October 2025 and coded with AI assistance, offering a data-rich example of AI-enabled qualitative research in a disaster-prone health system.
Topics
- organizational resilience in primary care
- clinic resilience Puerto Rico
- AI qualitative analysis primary care
- primary care disaster resilience
- FQHC resilience strategies
Keep reading
- Commentary on NewsTwo Definitions: Climate Change Acceptance for UndergradsHow a PLoS One Delphi study (Aug 25, 2026) defined climate change acceptance for undergraduate science students, and how AI-enabled qualitative analysis applies it.
- Commentary on NewsResearcher-in-the-loop: AI-enabled UX researchHow the researcher-in-the-loop model governs AI-enabled UX research. Learn practical governance, stats from the August 2026 piece, and how Evidano supports this workflow.
- Commentary on NewsResearcher-in-the-Loop: Governance for AI UX ResearchGovern AI in qualitative UX research with the researcher-in-the-loop model from Jennifer L. Bowie (Aug 25, 2026): practical rules, risks, and tool mappings.
