Integrates with
EpicCernerMeditechOracle HealthHL7 FHIR R4DICOMHL7 v2and more
Components
Eight components. One coherent system.
Learning Kernel
The core engine that continuously adapts the ILM to new interactions. Incremental fine-tuning without catastrophic forgetting. Every documented decision sharpens the model without erasing what it already knows.
Real Time Data Fabric
A high-throughput event stream that captures every clinical or workflow event in real time. The connective tissue between your existing EMR and the AIIM intelligence layer, no batch jobs, no lag.
Digital Twins
A dynamic computational model of each patient, maintained in real time as new data arrives. Not a static snapshot, a living representation that evolves with every interaction, test, and clinical decision.
Knowledge Graph
A structured representation of clinical relationships, institutional protocols, and population patterns. Contextualises ILM outputs by grounding them in verifiable institutional knowledge.
AI Agents
Autonomous task agents that orchestrate complex clinical workflows, documentation, care pathway selection, alert triage, with full human oversight and one-click override at every decision point.
Explainability
Every AIIM output ships with a complete reasoning trace. Not post-hoc rationalisation, step-by-step decision logic in plain language, reviewable by any clinician, auditor, or regulator.
Security
Zero-trust, zero-egress architecture. Data is encrypted at rest and in transit. All model weights remain within your network perimeter. No AIIM engineer can access your data or your models.
Observability
Full-stack operational visibility into every AIIM component. Model performance, data quality, clinical adoption, workflow efficiency, all in a single pane, with configurable alerting.