NEWS2 7 HIGH RISK

NHS DTAC Compliant • MHRA Aligned • DCB0160 Ready

Patient deterioration
detected before
the bedside call.

VitalisOS gives NHS trusts and independent hospitals a real-time NEWS2 scoring engine and AI monitoring tools — built by frontline respiratory nurses, not lab researchers. Every alert is traceable, every override accountable.

See How It Works Live Demo Dashboard

NEWS2 Integrated Clinician-in-the-Loop Audit Trail on Every Alert NHS Data Standards

Flagship Product

Vitalis AI™

Real-time patient monitoring with NEWS2 scoring, auto-titration algorithms, and intervention audit trails — designed from years of frontline respiratory nursing experience, not engineering lab assumptions.

NEWS2 Scoring

National Early Warning Score 2 integration — calibrated to UK NHS clinical pathways. Continuous risk stratification from real-time vital sign streams.

Auto-Titration

Dynamic intervention recommendations that adapt to patient trajectory. Audit trail of every AI recommendation and clinical override for full accountability.

Intervention Audit

Every decision logged and traceable. Clinician-in-the-loop architecture — AI supports, the human decides. Built to meet MHRA, NICE, and DCB0160 requirements.

Patent Pending

Clinical Intelligence

Currently a research concept — moving toward NHS DTAC pathway and UKCA marking. Designed from bedside experience that no competitor has.

Core Capabilities

Everything your ward needs
in one monitoring layer

VitalisOS integrates with your existing patient management systems to deliver real-time NEWS2 scoring, intelligent escalation, and full clinical audit trails — without replacing your EPR.

Live Scoring

NEWS2 Scoring Engine

Continuously recalculates the National Early Warning Score 2 from real-time vital sign feeds. Seven parameters — SpO2, respiration rate, supplemental oxygen, systolic BP, heart rate, temperature, and ACVPU consciousness level — scored and tiered in real time.

SpO2

Respiration Rate

Systolic BP

Heart Rate

Temperature

ACVPU

Deterioration Detection

AI Monitoring Tools

Pattern recognition across vital sign trajectories to flag subtle deterioration signatures hours before a clinical crisis — not just when a threshold is crossed. Trajectory alerts give nurses and doctors advance warning, not just reactive alarms.

Trend analysis across rolling 8-hour windows
Composite score delta detection
Individual parameter anomaly flags
Escalation recommendation with pathway routing

Auto-Titration

Intervention Recommendations

Dynamic recommendations that adapt to patient trajectory — oxygen flow rate adjustments, escalation pathway selection, timing prompts for reassessment. Every AI recommendation is logged with the clinician ID and timestamp of the override decision.

Clinician-in-the-loop architecture

Compliance

Full Audit Trail

Every score, every alert, every clinical override — logged, timestamped, and attributable. Built to meet NHS Digital standards, MHRA requirements, and NICE DG23 recommendations for AI-enabled medical devices. DCB0160 clinical risk management integrated from day one.

DTAC Pathway

DCB0160

UKCA Mark Ready

VitalisOS — Live NEWS2 Dashboard

A.M. Bedford · A1 Score: 2 Low

R.P. Cairns · B4 Score: 8 Critical

E.W. Bedford · A2 Score: 5 Medium

Research Proof

Attacking the $1M
Millennium Prize

The Navier-Stokes existence and smoothness problem — one of seven unsolved Millennium Prize problems designated by the Clay Mathematics Institute in 2000 — has resisted resolution for over 180 years of mathematical effort.

TalaStar's research applies a depletion-based reduction of the 3D regularity problem, targeting the single frequency gain condition that blocks global regularity proof.

Core equation: ∂u/∂t + (u·∇)u + ∇p = νΔu ∇·u = 0

Named for Claude-Louis Navier (1822) and Sir George Gabriel Stokes (1845) — the foundation of all modern fluid dynamics.

Sir George Gabriel Stokes

13 August 1819 — 1 February 1903

Irish mathematician and physicist; co-formulator of the Navier-Stokes equations

Operating Principles

The HEAL Framework

Every decision at TalaStar is tested against four principles — not as policy, but as a living framework that shapes product architecture, research direction, and partnership criteria.

Human-Centricity

Technology exists to serve people — patients, clinicians, and communities. Every feature is designed from the human need outward, not the capability inward.

Equity

AI must perform across all patient demographics. Every model is tested for bias against NHS protected characteristics before deployment.

Accountability

Audit trails on every decision. Clinician-in-the-loop always. No black-box autonomy — every AI recommendation is traceable to a human reviewer.

Longevity

Products built to last — not to chase a funding round. Sustainable architecture, open methodology, and long-term clinical validation over short-term hype cycles.

Payment Options