Deterioration early warning
Vitals trend, risk rises, the alert fires before the crash.
Inputs: HR, SpO₂, RR, BP, labs, nursing notesHorizon 6–12 h
AI LABDigital twin of a 300-bed hospital, running live
Where tomorrow's hospital is tested first.
The Medisys-X AI Lab is where our clinical and operational models are built, stress-tested and explained. Run the digital twin, watch the models think, and see how every prediction is checked before it reaches a ward.
- 8 clinical and operational models
- 1-minute twin resolution
- Human sign-off on every alert
Test tomorrow's hospital before it happens.
Change arrivals, beds, nurses and theatre lists and watch the whole hospital react: queues, occupancy, safety and margin, minute by minute. Try a fever surge or a mass-casualty event.
Illustrative model. The live twin is calibrated on your own admissions, staffing and cost data.
Bed occupancy · 24 h
–ED wait · 24 h
–Bed occupancy–
ED wait–
Boarding in ED–
Nurse : patient–
Deteriorations caught by AI–
Electives cancelled–
Revenue run-rate / day–
Operating margin–
Twin alerts
Watch the models think in real time.
Four of the models that power Medisys-X, running on synthetic data so you can see exactly what they do and when they speak up.
LIVE MODEL
Bed demand forecast
Seven days ahead with honest uncertainty bands.
Inputs: ADT history, ED arrivals, elective list, seasonHorizon 7 d
Readmission risk
Learning which discharges need a follow-up call.
Inputs: diagnoses, LOS, prior visits, medicinesHorizon 30 d
Roster optimiser
Closing staffing gaps across wards, shift by shift.
Inputs: acuity forecast, skills, leave, fairness rulesHorizon 7–28 d
Experiments run on synthetic data in your browser. They show behaviour, not validated clinical performance.
Every model has a card, a purpose and an owner.
What it predicts, what it reads, how far ahead it looks and where it shows up in the product.
Live
Deterioration
Flags patients likely to need ICU or a rapid response.
- Horizon
- 6–12 h
- Used in
- Patient 360, ward board
Live
Sepsis screen
Combines vitals, lactate and white cell trends.
- Horizon
- 4–8 h
- Used in
- ED, wards, ICU
Live
Bed demand
Occupancy by ward with uncertainty bands.
- Horizon
- 1–7 d
- Used in
- Command center
Live
Length of stay
Expected discharge date from day one.
- Horizon
- Admission to discharge
- Used in
- Discharge planning
Pilot
Readmission
Who needs a follow-up call after discharge.
- Horizon
- 30 d
- Used in
- Discharge, home care
Live
Staffing acuity
Nursing workload by ward and shift.
- Horizon
- 7–28 d
- Used in
- Rostering
Pilot
Claim denial
Spots missing documents before a claim is sent.
- Horizon
- Pre-submission
- Used in
- Billing and RCM
Research
Supply demand
Consumption forecasts for drugs and consumables.
- Horizon
- 2–6 weeks
- Used in
- Inventory, procurement
From idea to ward, every model earns its place.
Models move through the same gates every time. Nothing reaches a clinician until it has run silently next to real care and been signed off.
- DataDe-identified, consented
- FeaturesVersioned and documented
- TrainingReproducible runs
- ValidationBias checks by age, sex, payer
- Shadow modeSilent next to real care
- Clinical sign-offNamed owner approves
- MonitoringDrift alerts, retraining
Human in the loop
Models suggest. Clinicians decide, and every override is recorded.
Explainable by default
Each score shows the factors that pushed it up or down.
Fairness tracked
Performance reported across patient groups, not only on average.
Private by design
Your data trains your models and never leaves your tenancy.
Bring your own data
See the twin run on your hospital's numbers.
We calibrate the digital twin on a sample of your admissions, staffing and costs, then walk your leadership team through three what-if scenarios.