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Patient Journey Analytics – Kontakt.io software illustration
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Patient Journey Analytics

Creates a digital twin of hospital operations by combining EHR and RTLS data, mapping patient journeys and forecasting demand and bottlenecks. Acts as the intelligence layer that coordinates the other AI agents, with audit trails, access controls and HIPAA adherence.

Digital Twin: Combines EHR and RTLS data to create a live digital twin of hospital operations Journey Mapping: Maps end-to-end patient journeys from admission to discharge Demand Forecasting: Predicts bottlenecks and demand shifts before they occur AI Coordination: Orchestrates Patient Flow, Supply Chain and Access agents Compliance: HIPAA-compliant audit trails and role-based access controls
Kontakt.io Products
Patient Journey Analytics
Patient Journey Analytics
KIO-PJA-1 AI SaaS (Kio Cloud)
KIO-PJA-1
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Patient Journey Analytics is the intelligence layer of the Kontakt.io AI platform. It creates a live digital twin of hospital operations by fusing electronic health record (EHR) data with real-time location data from Kio Cloud — mapping every patient journey from admission through to discharge and identifying where flow breaks down.

The platform forecasts demand shifts and capacity bottlenecks before they materialise, and coordinates the Patient Flow, Supply Chain and Access agents so recommendations remain consistent across teams. Full audit trails, role-based access controls and HIPAA-compliant data handling are built in from the ground up.

Key Features

Hospital Digital Twin

Combines EHR and RTLS data into a live operational model of your entire facility.

Patient Journey Mapping

Visualises end-to-end patient journeys from admission to discharge across all units.

Demand Forecasting

Predicts capacity bottlenecks and demand shifts before they impact patient care.

HIPAA Compliance

Built-in audit trails, access controls and HIPAA-adherent data handling throughout.

Technical Specifications

Hardware and feature specifications for the Patient Journey Analytics.

  • Digital Twin
    Combines EHR and RTLS data to create a live digital twin of hospital operations
  • Journey Mapping
    Maps end-to-end patient journeys from admission to discharge
  • Demand Forecasting
    Predicts bottlenecks and demand shifts before they occur
  • AI Coordination
    Orchestrates Patient Flow, Supply Chain and Access agents
  • Compliance
    HIPAA-compliant audit trails and role-based access controls

Documentation

Datasheets and reference documents for the Patient Journey Analytics.

Datasheet not yet available

Contact us if you need technical documentation for the Patient Journey Analytics.

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  • EHR Integration: Works within existing EHR workflows (Epic, Cerner and others)
Supply Chain Agent – Kontakt.io software illustration
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  • Task Automation: Directs inventory and work tasks to Supply Chain, EVS, Biomed and Nursing teams
  • Infrastructure Compatibility: Works with Kontakt.io Portal Lights, Cisco, or Juniper Mist access points
Access Agent – Kontakt.io software illustration
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  • Patient Wait Time: Monitors patient wait times and surfaces improvement opportunities
  • EMR Integration: Combines real-time location and EMR data for outpatient clinics

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