Five disciplined steps from question to verified guidance — three frontier models running as a consultation board, against 75 medical registries.
Bedside query routed through a local PHI scrubber. Patient names, dates, and locations stripped before anything leaves the device.
Orchestrator parses the query, selects only the registries that match the specialty signal — e.g. CVPhysiology for shock, KDIGO for AKI.
Concurrent calls pull guidelines, trials, terminologies, and dosage frames in parallel — no sequential round-trips.
Two reasoning engines cross-reference contraindications, local standards, and coding — flagging any conflict for clinician review.
Structured answer surfaces at the bedside with optional sync to Notion registries or Slack alerts. Clinician retains final authority.
Cross-checked, sandboxed, and routed by specialty signal. No provider sees patient-identifiable data.
Highest-accuracy reasoning across rare pathologies, complex differentials, and structured clinical vignettes. Cited, conservative, and verifiable.
Independent second-opinion engine. Cross-checks the primary's output against contraindications, local guidelines, and coding schemas.
Long-context synthesis of preprints, systematic trials, and pharmacology. Optimized for citation density and structured tool calls at scale.
All models run in dedicated clinical sandboxes with structured tool-routing.
Claude 4.7 Opus and Gemini 3.1 Pro now match expert-level USMLE and differential diagnostic vignettes — accurate, structured, and citable.
Model Context Protocol standardizes how an LLM connects to any external system — turning fragmented registries into typed, auditable tool calls.
Reliable on-device PHI scrubbing, audit-grade encryption, and zero-retention sessions make clinical AI deployable under HIPAA + HITECH today.
Try BabageMed AI and see it answer your hardest bedside questions, live, with full citations.
