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Self-Reliant Infrastructure

Clinical Corvus implements a cost-effective, self-reliant infrastructure for intelligence gathering that minimizes dependency on paid APIs while maintaining high-quality evidence retrieval.

Strategic Goals

  1. Eliminate recurring API costs for routine searches
  2. Establish local medical corpus for high-yield clinical content
  3. Implement tiered routing with strict budget controls
  4. Ensure operational resilience through self-hosted components

Tiered Search System

The infrastructure uses a three-tier search system with automatic escalation:

Tier 1 (Green) - Always Free

  • Sources: Local medical corpus, PubMed, Europe PMC, OpenAlex, Crossref
  • Cost: $0
  • Latency: 1-3 seconds
  • Use Case: All routine clinical queries

Tier 2 (Yellow) - Self-Hosted

  • Source: Self-hosted metasearch aggregator
  • Cost: $0 (self-hosted)
  • Latency: 2-5 seconds
  • Trigger: Tier 1 returns insufficient results

Tier 3 (Red) - Paid APIs

  • Sources: Premium search APIs
  • Cost: Variable (provider-dependent)
  • Latency: 1-2 seconds
  • Trigger:
    • Explicit user opt-in, OR
    • High-recency query detected (keywords: "latest", "newest", "recent")
    • Monthly budget: $0 by default (must be explicitly enabled)

Medical Formulas Available

The system includes 55+ offline medical formulas across clinical domains:

Sepsis & Critical Care

  • qSOFA Score, SOFA2 Score, MEWS, NEWS2, LODS

Cardiovascular

  • CHA2DS2-VASc, HAS-BLED, GRACE Score, TIMI Risk, HEARTS Score

Pulmonary

  • Wells Score (PE/DVT), Geneva Score, BAP-65

Renal & Metabolic

  • CKD-EPI, MDRD, Cockcroft-Gault, MELD, MELD-Na

Hematology & Oncology

  • CLARIFY Risk, Gleason Score, IPSS

Gastrointestinal

  • Child-Pugh, FIB-4, APACHE II

Pediatric

  • Pediatric Glasgow Coma Scale, Pediatric Appendicitis Score

Success Metrics

MetricTargetNotes
Monthly API costsMinimalSignificant reduction from cloud-only baseline
Local corpus coverageTarget: 80%Of routine clinical queries
Search latencyTarget: 1-2sImproved from 2-3s baseline
Result relevanceTarget: 85%Improved from ~70% baseline
note

Metrics are internal targets based on development testing. Actual performance may vary based on query types and corpus content. Independent validation is planned.