Solutions

Understanding and Optimizing the Patient Journey.

Patients don't fail therapy because the drug doesn't work. They fail because something breaks between diagnosis and the first prescription, or between the first prescription and consistent adherence. PatientXion™ shows you exactly where those breaks are — and what's causing them.

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Most patient analytics projects deliver a journey map that ends with a recommendation. What commercial teams actually need is a continuously updated view of where patients are falling out, what the root causes are, and how field, hub and PSP performance connects to patient outcomes.

We build that view using claims data, specialty pharmacy feeds, hub and PSP program data, and CRM activity — linked together into a single patient-centric model.

PatientXion™ Capabilities

Patient Journey Mapping

Diagnosis to treatment initiation mapping
Drop-off identification at each journey stage
Time-to-therapy benchmarking by HCP, geography and payer
Re-initiation patterns and trigger analysis
Multi-source linkage: claims, EMR, specialty pharmacy and CRM

Adherence & Persistence Analytics

Refill rates and days-on-therapy tracking
Therapy gap analysis and intervention trigger identification
Adherence segmentation by HCP and geography
Persistence curves versus brand and competitor benchmarks
Early discontinuation signal detection

SP / PSP Program Analytics

Hub enrollment funnel and conversion analytics
Time-to-therapy from enrollment to first fill
PSP program drop-off and patient re-engagement rates
Copay assistance utilization and outcomes tracking
Free drug and bridge program performance analysis

Real-World Evidence & Patient Identification

Claims-based outcomes and comparative effectiveness analysis
Dx/Rx linkage: connecting diagnosis codes to brand prescriptions
HCP-level patient pool estimation
AI-powered patient finder models

Use Case

Reducing time-to-therapy — specialty CNS product

A brand team knew patient adherence was a problem but had no visibility into where patients were dropping off. PatientXion™ journey mapping identified three key friction points: prior authorization burden (34% drop-off), hub enrollment delays (28% drop-off), and copay barriers at first fill (30%). Field force re-aligned around PA support and co-pay program promotion. Time-to-therapy improved by 11 days within one quarter.

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