Future technology

Hospital Readiness Digital Twin

A navigable model of hospital → department → process → people → evidence → risk. The same model powers location-aware mobile capture and AR survey overlays.

Digital twin workflow

1Model the hospitalDepartments, rooms, processes, people
2Locate the surveyorIndoor position, QR/NFC or wearable
3Overlay readinessRequirements, evidence and risk in view
4Capture on the spotVoice, photo or video evidence
5Raise and remediateFindings and corrective actions

Holographic 3D digital twin of a multi-floor hospital with department zones and risk hotspots — Illustrative rendering of the hospital readiness twin — floors, departments and live risk hotspots.

Departments modelled

Requirements mapped

People in the twin

Roles, competency and currency

AR Surveyor

Coming Soon

Interface ready, hardware mocked

Explore the twin

Location-aware readiness

Select a physical location the way a surveyor would walk to it. Indoor positioning, QR/NFC or a wearable can select it automatically.

ICU — Medication Room

Potentially relevant requirements

Open findings

Department readiness

84%

Last assessment

14 days ago

“Would you like to review medication-storage evidence for this area?”

Review evidence here Start a tracer here See findings (1)

1 staff profiles associated with this location in the twin.

AccrediSense Vision — wearable capture

Vendor-neutral abstraction: WearableDevice → Camera → Voice → Location → AI Vision → Accreditation Intelligence.

Point of view through smart glasses showing an AR compliance checklist over an ICU medication cabinet — Smart glasses: hands-free AR overlay of requirements, checklists and readiness at the point of care.

Nurse wearing a VR headset rehearsing a simulated accreditation survey interview — VR rehearsal: staff practise voice-led surveyor interviews in a simulated unit before survey day.

Generic WebXR headset

Coming Soon

Channels: image, voice

Location: not supported

Enterprise smart glasses

Coming Soon

Channels: image, video, voice

Location: supported

Mobile device camera

Available

Channels: image, video, voice

Location: supported

AI-generated observation — human verification required. Visual input never determines accreditation compliance on its own.