Patient Journey Analytics: The Intelligence Layer for Your Hospital Operations

Your hospital digital twin: forecast patient journeys and optimize operations.

Why Patient Journey Analytics?

Patient Journey Analytics is the data-driven intelligence layer that normalizes EHR and RTLS, creates a continuous journey model, and serves it to agents via open APIs.

A comprehensive, real-time look into hospital ops

Ensure precise AI analysis and effective automation; mine millions of data points from a huge variety of data sources across your hospital environment.

Move from hindsight to preparation

Identify known and unknown variables within patient journeys (task durations, effective capacity, and cycle times) and optimize them.

Illuminate + improve operational blindspots

Integrate, deploy, and ramp up Patient Journey Analytics across your hospital or network.

Seamless compatibility and frictionless scaling

Every hospital is different, so Patient Journey Analytics utilizes reinforcement learning to adjust outputs to better suit your patient profiles, processes, and more.

Adapt to your hospital’s unique conditions

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FAQs

Join over 200K caregivers utilizing our Intelligent Orchestration solutions in hundreds of hospitals – from the nation’s largest networks to regional leaders.

Patient Journey Analytics is the foundation for implementing AI agents in healthcare operations. By ingesting and analyzing millions of data points (both real-time and historical) across a hospital or network, Patient Journey Analytics predicts, forecasts, and anticipates needs, and responds accordingly.

  1. Because it can operate at immense scale, ingesting and analyzing reams of data, Patient Journey Analytics effectively models thousands of possible outcomes, adapts to new variables, and improves its accuracy and performance over time. Unlike EHRs, which were designed for billing, static documentation, and compliance, Patient Journey Analytics creates a digital twin to enable real-time analysis, orchestration, and prediction. This enables hospitals to orchestrate operations, reduce pressures on patients and staff, and prevent potential obstacles from occurring.

Patient Journey Analytics standardizes data movement from your systems into downstream AI agents, removing the need for custom ETLs or APIs (and the associated maintenance), while protecting data via HIPAA compliance, secure access, and data governance best practices.

  1. Patient Journey analytics requires ADT (admit/transfer/discharge) and core orders or procedures; optionally, it can also ingest RTLS location and status signals. Patient Journey Analytics will produce normalized ontology, journey timelines, cycle times, bottleneck indicators, and API endpoints for queries, alerts, and simulations for both real-time and historical analysis.
  1. Patient Journey Analytics is read-only by default with optional writebacks, supports HIPAA/BAA, SSO and RBAC, as well as encryption in transit and at rest. It maintains audit logs for data lineage, recommendations, and configuration changes, and provides environment isolation and access controls aligned to clinical and operational roles.