Improve Patient Outcomes Through AI-Powered Journey Mapping
Understanding the full patient journey is critical for improving care delivery, yet clinical data remains fragmented across disparate systems. Our Patient Journey Intelligence solution uses healthcare-trained NLP to unify, structure, and analyze patient data across the care continuum.
Map longitudinal patient timelines, identify treatment patterns, stratify risk cohorts, and drive actionable clinical insights - all from your existing clinical data.
The Challenge
Why Patient Journey Intelligence Matters
Healthcare organizations collect vast amounts of clinical data, but without the ability to connect and analyze it longitudinally, critical insights about patient outcomes remain hidden.
Common pain points we solve:
Fragmented data across EHRs, claims, and lab systems
No longitudinal view of patient treatment paths
Manual chart review that cannot scale to population-level analysis
Inability to identify at-risk patients before adverse events occur
Architecture
Intelligence Delivery Pipeline
Collect
Ingest data from EHRs, claims, labs, and clinical notes.
Extract
De-identify and classify medical concepts with NLP.
Map Journey
Build longitudinal timelines and path visualizations.
Analyze
Stratify risk and uncover population-level trends.
Act
Drive targeted interventions and patient outreach.
Our Solution
What Patient Journey Intelligence Delivers
An end-to-end platform that transforms fragmented clinical data into actionable patient journey insights.
Data Collection & Integration
Ingest and unify data from EHRs, clinical notes, claims, and lab systems into a single structured view.
NLP Entity Extraction
De-identify records, extract clinical entities, and classify medical concepts using healthcare-trained NLP models.
Timeline Visualization
Map longitudinal patient timelines showing treatment paths, encounters, and clinical milestones over time.
Risk Stratification
Identify high-risk patients using AI-driven scoring models that analyze clinical patterns and predict outcomes.
Outcome Predictions
Leverage population-level trends and predictive models to forecast patient outcomes and guide interventions.
Cohort Analysis
Build and compare patient cohorts based on diagnoses, treatments, demographics, and outcomes for population health studies.
Process
How It Works
From raw clinical data to actionable patient journey insights in five steps.
Collect
Integrate and ingest data from EHRs, claims, labs, and clinical notes.
Extract
De-identify, extract entities, and classify medical concepts with NLP.
Map Journey
Build longitudinal patient timelines and treatment path visualizations.
Analyze
Stratify risk, predict outcomes, and uncover population-level trends.
Act
Drive targeted interventions, clinical decision support, and patient outreach.
Target Audience
Who It's For
Built for organizations seeking to understand and improve patient outcomes at scale.
Health Systems & IDNs
Population Health Teams
Care Management Programs
Clinical Research Organizations
Results
Outcomes You Can Expect
Full Outcomes Visibility
Longitudinal views of patient journeys that reveal treatment effectiveness and gaps in care.
Reduced Manual Effort
Automated NLP extraction and structuring replaces time-intensive manual chart review.
Actionable Insights
Risk stratification and predictive models that guide clinical decisions and targeted interventions.
Scalable Analytics
Population-level cohort analysis and trend detection that scales across your organization.