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Patient Journey Mapping

We use adaptive modeling, not static mapping

Patient Journey Mapping

We replace static journey mapping with intelligent, adaptive modeling. By applying process science and AI to real-world health data, our platform visualizes and optimizes the entire patient experience. This enables health systems to predict delays, align stakeholder actions, and build data-driven pathways that accelerate recovery and reduce costs.

Process Science at the Core

  • Leverages methodologies like process mining, workflow simulation, and care pathway analysis.
  • Maps actual patient journeys using timestamped EMR/EHR data, not assumptions or surveys.
  • Identifies deviations, delays, and inefficiencies in real-time to uncover improvement opportunities.

Patient-Centered & Actionable

  • Visual interfaces show each step in the patient's journey from referral to follow-up highlighting key moments, gaps, and emotional touchpoints.
  • Integrates patient-reported outcomes and sentiment analysis to surface pain points and elevate care quality.
  • Enables co-design with patients and clinicians, aligning care pathways with real needs.

AI-Powered Insight Engine

  • Applies machine learning and natural language processing (NLP) to clinical notes, appointment logs, and patient communications.
  • Detects risk patterns (e.g., drop-offs, readmission likelihood, care fragmentation).
  • Predicts optimal next steps personalized to patient history, condition, and care team behavior.

Seamless Integration with Virtual Assistants

  • Links directly with AI-powered clinical assistants to trigger automated reminders, documentation, and follow-ups at critical journey moments.
  • Supports proactive intervention by alerting providers when patients fall off their expected path.

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