Automation & Insights · Signal Lab
The signals were there. The intervention wasn't.
One engine over the longitudinal record, for one patient, a whole population, or a synthetic one. Every answer traces to source and re-runs the same way.
1.5M+ patients coordinated · 100M+ clinical signals structured · on-premise via the Data Privacy Gateway
Flagged on day minus 14
Most deterioration shows days before it is obvious.
Signal Lab reads the whole record: clinical, diagnostic, genomic and operational. Extraction runs on CPU inside your walls, with no third-party API in the path.
eGFR 64 → 38
Renal function declining.
Missed follow-up
Rehabilitation appointment not attended.
NEWS2 4 → 6
Early warning score rising.
Medication change
ACE inhibitor adjusted.
Admission
Pneumonia and acute kidney injury.
One engine, three views of the patient
See every signal. Understand why. Rehearse the outcome.
Understand why · Signal Lab State
Why, and when it turned.
Every signal mapped to the body and scrubbed across the full history, so you see the moment the patient turned.
- Timeline intelligence
- Evidence-linked storylines
- Dynamic risk re-gauging

Rehearse the outcome · Signal Lab What-If
Test the consequence before you commit to it.
Simulate a treatment or disposition and see its projected effect on the record.
- Guardrails visible on screen
- Pharmacogenomics and polygenic risk
- Versioned and auditable

Every signal · Patient 360
AI clinical summary, early warning scores, care gap detection, and Ask IASORA on one surface.
Explore Patient 360 →Score with confidence
Continuously re-gauged. Every score traces to the factor, the weight, and the source.
Explore Risk Stratification →On-premise by design
The engine runs inside your walls. Real identities never leave the building.
Explore the DPG →Proof at scale
Live in production, not a prototype.
Live at a 1,000-bed quaternary hospital and an ASX-listed health technology customer. Multi-system environments unified on FHIR in weeks.
See it on your data
Rehearse the outcome before you commit.
See Signal Lab run over a real longitudinal record.