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AI-guided systematic review tool for researchers, students, and institutions
Research Protocol
Nurse Burnout — ICU Settings
The system supports 12 research question frameworks used in systematic reviews, scoping reviews, and evidence synthesis worldwide.
Stages 1–5 are available today. Stage 6 is in active development.
AI-guided formulation across 12 evidence frameworks — PICO, SPIDER, CoCoPop, and 9 more. The system selects the right framework automatically.
Landscape analysis via OpenAlex — see article volume, leading journals, and research feasibility before committing to a full review.
Database-specific queries for PubMed, Scopus, CINAHL, and Embase — with verified MeSH and Emtree terms, not AI-generated guesses.
AI-assisted title/abstract and full-text screening with PRISMA flow tracking and inclusion/exclusion criteria management.
Rank target journals by scope match, impact factor, and open access policy based on your specific research question.
Export a PRISMA-P formatted protocol document, ready for ethics committee submission or PROSPERO registration.
"I want to research nurse burnout in hospitals"
"What is the prevalence of burnout among registered nurses working in acute care hospital settings?" (CoCoPop: Condition — Burnout; Context — Acute care hospitals; Population — Registered nurses)
RefDesk helped turn a vague idea into a structured question in under 10 minutes.
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