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.
Key Takeaways
RAND's August 17, 2026 report found that Puerto Rico primary care clinics sustain operations under chronic financial, workforce, infrastructure, and disaster stress by layering absorptive, adaptive, and transformative strategies (RAND).
- RAND conducted 25 semi-structured interviews between May and October 2025, covering physicians and clinic leaders across all major health regions in Puerto Rico.
- RAND reports that interviews were conducted in Spanish and analyzed using an AI-assisted coding platform (Muse) with inter-rater reliability κ = 0.85.
- RAND identified five themes organized across three resilience levels (absorptive, adaptive, transformative) in its August 17, 2026 publication.
- RAND observed that Federally Qualified Health Centers concentrated transformative resilience by institutionalizing telemedicine, multidisciplinary teams, and formal community partnerships.
What happened: RAND study methods and headline findings
RAND conducted a cross-sectional qualitative study of primary care clinics in Puerto Rico, using purposive sampling and 25 virtual semi-structured interviews between May and October 2025.
RAND reports that interview participants included physicians and executive or medical directors from Federally Qualified Health Centers and non-FQHC practices across all major health regions.
RAND analyzed transcripts in Spanish using an AI-assisted qualitative coding platform (Muse) and a matrix framework thematic analysis, with reported inter-rater reliability κ = 0.85.
RAND summarizes findings as five themes across three resilience levels: at the absorptive level clinicians expanded roles and personal accessibility; at the adaptive level clinics diversified communication and service delivery; at the transformative level FQHCs institutionalized telemedicine and multidisciplinary care.
RAND wrote, "a layered suite of resilience strategies forged under chronic systemic stress, " and RAND also noted that "individual clinician burden [served] as the primary buffer against system failure."
Findings Snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| May–Oct 2025 | Interviews conducted | 25 semi-structured interviews | Qualitative sample spanning physicians and clinic leaders across Puerto Rico |
| Aug 17, 2026 | Publication | RAND external report | Formal synthesis and policy-oriented discussion of resilience strategies |
| May–Oct 2025 | Language & coding | Interviews in Spanish; coded with Muse (AI-assisted), κ = 0.85 | High coding reliability supports trust in thematic claims |
| 2026 (reported) | Themes identified | 5 themes across 3 resilience levels | Actionable categories for absorptive, adaptive, and transformative planning |
Implications for researchers and health leaders
Researchers should treat the three resilience levels (absorptive, adaptive, transformative) as distinct analytic frames when studying clinic responses, because RAND organized findings into these levels in its August 17, 2026 report.
Policymakers and health leaders should prioritize payment parity and workforce retention, because RAND concluded that federal reimbursement inequities and migration constrain all resilience levels and limit organizational transformation.
Clinic leaders should document informal practices such as home visits and multi-modal records as part of preparedness planning, because RAND found these adaptive practices maintained care continuity during infrastructure disruptions.
Researchers using bilingual data should plan for validated Spanish transcription and AI-assisted coding, because RAND conducted interviews in Spanish and reported AI-assisted coding with κ = 0.85 in May–October 2025.
How Evidano Helps: from RAND problems to AI-enabled solutions
Problem: bilingual interviews and slow manual transcription
Solution: Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Evidano's transcription features support Spanish audio with a custom dictionary and PII redaction, which addresses RAND's use of Spanish-language interviews in May–October 2025.
Evidano can reduce turnaround time and preserve speaker labels so researchers replicate RAND-style rapid coding workflows.
Problem: coding reliability and scale
Solution: Evidano provides AI-assisted thematic and content coding with inter-rater tracking and exportable reliability metrics, which helps teams reach reproducible κ benchmarks like RAND's reported κ = 0.85.
Evidano's thematic, frequency, and cross-segment analyses let teams move from coded transcripts to matrices that mirror RAND's matrix framework thematic analysis.
Problem: synthesizing resilience strategies across sites
Solution: Evidano's AI chat over documents and visualizations (word cloud, co-occurrence network, hierarchical codes) helps researchers synthesize absorptive, adaptive, and transformative findings into policy-ready recommendations similar to RAND's August 17, 2026 report.
For feature details, see Evidano features.
FAQ: organizational resilience in primary care
What methods did RAND use to study organizational resilience in Puerto Rico?
Answer: RAND used a cross-sectional qualitative design with purposive sampling and 25 virtual semi-structured interviews between May and October 2025.
Supporting detail: RAND conducted interviews in Spanish, used an AI-assisted coding platform (Muse) with inter-rater reliability κ = 0.85, and applied a matrix framework thematic analysis, as reported on August 17, 2026.
What are absorptive, adaptive, and transformative resilience levels?
Answer: Absorptive resilience refers to short-term coping actions, adaptive resilience to reorganizing practices, and transformative resilience to institutional change.
Supporting detail: RAND classified clinician role expansion and personal accessibility as absorptive, diversified communication and home visits as adaptive, and FQHC institutionalization of telemedicine and teams as transformative in the August 17, 2026 report.
Can AI-assisted coding reproduce RAND's reliability?
Answer: Yes, AI-assisted coding can achieve high reliability when paired with human review and a documented protocol.
Supporting detail: RAND reported κ = 0.85 using an AI-assisted platform in May–October 2025, demonstrating that mixed human-AI workflows can produce reproducible qualitative coding.
How should researchers adapt RAND's approach for other settings?
Answer: Researchers should combine purposive regional sampling, language-appropriate transcription, AI-assisted coding, and a matrix framework analysis to adapt RAND's approach.
Supporting detail: RAND's protocol (25 interviews, Spanish transcription, Muse coding) on August 17, 2026 provides a replicable blueprint for disaster-prone, resource-constrained primary care settings.
Conclusion & Next Steps
RAND's August 17, 2026 report documents how Puerto Rico primary care clinics used absorptive, adaptive, and transformative strategies to sustain services under chronic stress and recurrent disasters.
Researchers and health leaders can replicate RAND's mixed human-AI workflow (25 interviews, validated Spanish transcription, AI-assisted coding with inter-rater checks) to produce policy-facing evidence.
To test these methods on your data and accelerate synthesis from transcripts to recommendations, Try Evidano for free.
Topics
- organizational resilience in primary care
- clinic resilience Puerto Rico
- AI qualitative analysis primary care
- primary care disaster resilience
- FQHC resilience strategies
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