Automation & Insights · Signal Lab
The signals were there. The intervention wasn't.
One engine over the longitudinal record. One patient, a whole population, or a population that does not exist yet. 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 clinical deterioration is visible days before it becomes obvious.
Signal Lab reads the whole record, clinical, diagnostic, genomic and operational, on one anatomical canvas scrubbed across the full history. Entity extraction runs on CPU inside your walls, FHIR-native, 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
Not just what happened. Why, and when it turned.
An interactive anatomical canvas maps every signal to the body, scrubbed across the full history so you can see the moment a patient started to turn.
- Interactive body map
- 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 the projected effect on the record, with the guardrails visible on screen and every run versioned and auditable.
- Treatment simulation and disposition testing
- Guardrails visible on screen
- Pharmacogenomics and polygenic risk
- Versioned and auditable
Every signal · Patient 360
Every signal, every source, on one surface. AI clinical summary, early warning scores, care gap detection, and Ask IASORA.
Explore Patient 360 →Score with confidence
Transparent, continuously re-gauged risk that traces to the factor, the weight, and the data source.
Explore Risk Stratification →On-premise by design
The engine runs inside your walls. Real identities never leave the building, via the Data Privacy Gateway.
Explore the DPG →Patient. Population. Synthetic.
The engine that explains one patient runs unchanged across the whole population.
On-premise via the Data Privacy Gateway. The record never leaves your walls.
Proof at scale
Live in production, not a prototype.
Live enterprise deployment at a 1,000-bed quaternary hospital and an ASX-listed health technology customer. Complex multi-system environments unified on FHIR in weeks. Accepted into Mayo Clinic Platform Solution Studios.
See it on your data
Rehearse the outcome before you commit.
Book a working session and see Signal Lab run over a real longitudinal record.