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LIVE DIGITAL TWIN · FOR HOSPITALS

Your hospital,
switched On.

HospitalOn.ai builds a living, real-time replica of your hospital — every bed, room, asset and patient pathway — then simulates what happens next, so your teams act before bottlenecks form.

Real-time syncPredictive simulationBuilt for clinical teams
01 — THE PLATFORM

One twin. Three layers of intelligence.

HospitalOn.ai connects to the systems you already run and turns scattered signals into a single, continuously updated model of how your hospital actually operates.

L1 / sense layer

Sense

Unify EHR, RTLS, IoT sensors, building management and staffing data into one live feed — mapped onto a precise 3D model of your facility.

/ HL7 / FHIR / RTLS / IoT /
L2 / model layer

Model

A physics- and behaviour-aware replica of every bed, room, device and pathway, updated continuously so the twin always matches reality.

/ 3D twin / Live state /
L3 / predict layer

Predict

AI agents run thousands of what-if scenarios — surges, closures, staffing gaps — and recommend the next best action before problems surface.

/ Forecasting / AI agents /
Command Center · All campuses
Illustrative interface · sample data
BED OCCUPANCY 87% ▲ 4% vs 24h
ED WAIT (MEDIAN) 42m ▼ 11m vs last week
OR UTILISATION 91% ▲ 6% vs plan
ASSETS TRACKED 12,480 ● 99.2% located
FORECAST · BED DEMAND NEXT 24H
CAPACITY NOW
RECOMMENDED ACTIONS
Open 3 beds in Ward APrevents ED boarding · in 2h 40m
Move OR 2 start to 07:30Recovers 1 surgical slot today
Reroute 2 infusion pumpsFrom Imaging to ICU · 4 min walk
02 — USE CASES

Simulate tomorrow.
Optimise today.

Six ways hospitals put their twin to work — from the emergency door to the boiler room.

FLOW · 01

Patient flow & capacity

See every admission, transfer and discharge in real time — and predict bottlenecks hours before they reach the emergency department.

Bed management

Live bed status across every ward, with turnaround forecasts that tell teams where the next patient should go.

Operating theatre
optimisation

24/7
schedule simulation

Asset & equipment tracking

Find pumps, wheelchairs and monitors instantly.

Energy & facilities

Cut energy waste room by room, without compromising clinical conditions.

Surge & emergency planning

Rehearse pandemics, mass-casualty events or ward closures in the twin — and walk in with a tested plan.

CONNECTS TO
EHRHL7 / FHIRRTLSBMSIoTRostering
03 — HOW IT WORKS

From blueprint to live twin in weeks, not years.

No rip-and-replace. HospitalOn.ai layers on top of your existing infrastructure and grows with every department you connect.

  1. 01
    MapWe build a precise 3D model of your facility from floor plans, BIM files or a rapid site scan.
  2. 02
    ConnectSecure connectors stream data from your EHR, RTLS, building systems and rostering tools.
  3. 03
    CalibrateThe twin learns your hospital’s rhythms — arrival patterns, length of stay, turnaround times.
  4. 04
    ActCommand-centre views, alerts and AI recommendations reach the right team at the right moment.
04 — SECURITY & PRIVACY

Clinical-grade trust, by design.

Patient data never becomes a liability. The twin models operations, not identities — with privacy controls built into every layer.

  • Privacy by designDe-identified operational modelling
  • Encrypted end to endIn transit and at rest
  • Deploy your wayCloud, private cloud or on-premise
  • ComplianceHIPAA · GDPR · ISO 27001
/ faq /

Everything you need
to know about the twin

01 What exactly is a hospital digital twin?

A digital twin is a live, virtual replica of your hospital — its spaces, beds, equipment, people flows and building systems — kept in sync with reality through your existing data. Because it mirrors what is happening now, it can also simulate what happens next.

02 Which systems does HospitalOn connect to?

The twin connects to your EHR via HL7 and FHIR, real-time location systems (RTLS), building management and IoT sensors, plus staffing and rostering tools. There is no rip-and-replace: HospitalOn sits on top of what you already run.

03 How long does it take to go live?

Most hospitals start with one department or wing and expand from there. Timelines depend on your data sources and floor plans — we scope a pilot with you in the first conversation. [Typical timeline to confirm]Confirmation needed

04 How is patient data protected?

The twin models operations, not identities. Data is de-identified wherever possible, encrypted in transit and at rest, and can be deployed in the cloud, a private cloud or fully on-premise to meet your governance requirements.

05 Who uses the twin day to day?

Bed managers, command-centre teams, theatre coordinators, facilities and operations leaders. Each role gets views and alerts tailored to the decisions they make — from where the next patient goes to when to switch off an unused ward.

06 Can we test scenarios before they happen?

Yes. You can rehearse surges, ward closures, new pathways or building changes in the twin and compare outcomes side by side before committing staff, money or space in the real hospital.

Ask us anything Still curious? Our team replies within one working day.

See your hospital before it happens.

Book a 30-minute walkthrough and we'll show you what a digital twin of your facility could reveal.

Or write to us at hello@hospitalon.ai