Researchragllmemergency triageclinical decision support
Dual-Source RAG Improves Emergency Triage Accuracy
9.1
Researchers developed MECR‑RAG, a dual‑source retrieval‑augmented generation system combining Hong Kong triage guidelines and 3,000 past cases, and retrospectively evaluated it in 2026 on 236 emergency department triage encounters. MECR‑RAG achieved QWK 0.902 and 80.2% accuracy versus a prompt-only LLM's QWK 0.801 and 54.2% accuracy, reduced overtriage, and improved sensitivity for high-severity patients.
Key Points
- 1Demonstrates MECR‑RAG achieved QWK 0.902 and 80.2% accuracy on 236 triage encounters.
- 2Reduces overtriage from 28.8% to 12.7%, maintaining low undertriage near 1.3%.
- 3Enables more sensitive detection of high-severity patients (95.4% sensitivity) while preserving nurse-level specificity.
Scoring Rationale
Strong peer-reviewed evidence and measurable performance gains; limited by single-center retrospective cohort and need for prospective validation.
Sources
Public references used for this report.
Practice with real FinTech & Trading data
90 SQL & Python problems · 15 industry datasets
Used by DS/ML engineers at top companies
Active Verified Users by Income TierEasyTechnology Stocks with High BetaMediumPortfolio Performance ScorecardHard
250 free problems · No credit card
See all FinTech & Trading problems
