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.

Day -14

eGFR 64 → 38

Renal function declining.

Day -10

Missed follow-up

Rehabilitation appointment not attended.

Day -7

NEWS2 4 → 6

Early warning score rising.

Day -4

Medication change

ACE inhibitor adjusted.

Day 0

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
Signal Lab State anatomical body map with risk overlay and evidence-linked storylines

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
Signal Lab What-If treatment simulation showing projected deterministic outcomes

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.

1.5M+Patients coordinated
100M+Clinical signals structured
15+Years of data unified
40+Ready-made agents
DPGOn-prem tokenisation
MayoPlatform Solution Studios

See it on your data

Rehearse the outcome before you commit.

See Signal Lab run over a real longitudinal record.