Two products.
One clinical problem.

Clinical deterioration goes undetected when NEWS2 scoring is manual, intermittent, and paper-based. Nurses on acute wards track 7 parameters across 15+ patients with no real-time aggregation — the delay between observation and escalation is where patients deteriorate.

• Active SpO₂ telemetry streaming — continuous, not spot-check
• Live NEWS2 scoring engine: 7 parameters, 0–20 range, colour-coded risk thresholds
• 'Health is Wealth' financial index: maps clinical deterioration to cost-of-delay for ward managers and clinical staff
• Cross-compiled iOS + Android from single Expo codebase
• Deployed to device in under 30 minutes via Manus AI pipeline

O₂ weaning on acute respiratory wards is driven by clinical intuition and periodic ABG sampling. Titration decisions happen at 1–4 hour intervals; the feedback loop is too slow for patients on the deterioration curve. Clinical staff cannot model the biological response to titration adjustments before making them.

• Real-time closed-loop O₂ titration simulation — models SpO₂ response to FiO₂ changes
• Biological feedback state machine: models lung compliance, V/Q mismatch, hypoxic drive
• Reduces clinical latency on acute respiratory wards by enabling pre-decision simulation
• Simulation training mode: trainees run scenarios before touching real patients
• Built on Lovable + Base44: no local install, zero infrastructure overhead