Ingestion fabric
APIs, registries, institutional feeds, verified submissions and controlled document extraction.
The strongest version of Disease Intelligence is not a single AI model. It is a layered system that can ingest, normalise, connect, verify, reason over and operationalise healthcare intelligence while preserving provenance, uncertainty and permissions.
APIs, registries, institutional feeds, verified submissions and controlled document extraction.
Map synonyms, codes, diseases, specialties, capabilities, interventions, research and organisations into stable entities.
Deduplicate and reconcile organisations, people, services, trials and concepts across sources.
Relationships retain source, effective date, update history, confidence/status and geographic scope.
Every material assertion can be inspected and independently checked.
Hybrid lexical, semantic and graph retrieval with role/context-aware ranking and explicit unknowns.
Specialised agents query governed tools and data with permissions, guardrails, audit and human escalation.
Routing, referrals, verification, research, alerts, tasks and institutional operating rules.
Consent, access control, jurisdiction, privacy, clinical boundary, safety and regulatory policies.
Quality metrics, errors, drift, feedback, cost, benchmark performance and controlled improvement cycles.