Patient Journey Prediction

Predict Patient Moves with Precision. Anticipate Physician Behaviours. Decode Every Patient Pathway.

The way patients move through the healthcare system is no longer linear. Patients see multiple specialists, change therapies due to efficacy or access issues, face diagnostic delays, and follow diverse and unpredictable treatment paths.

Traditional journey maps are static, they describe what happened in the past, not what will happen next. That’s where Patient Journey Prediction from Chryselys comes in.

What We Offer

Patient Journey Intelligence Hub

A central platform that reconstructs complete treatment journeys from claims data and overlays ML predictions to forecast next steps.

Physician Influence Map

Reveals which specialists’ “control” each journey stage and influence therapy transitions.

Sequence-Based AI Decisioning

Using deep sequence models (LSTM, GRU, Transformers), the system learns patient timelines just like language models learn sentences—to predict the next therapy “token.”

Real-Time Adaptability

As new claims are ingested, predictions refresh dynamically so commercial and medical teams always operate on the latest intelligence.

Brand-Level Switching Predictions

Shows the probability distribution of all possible next brands or regimens, supporting competitive intelligence and PSD insights.

Portfolio-Ready Architecture

Can be applied to one brand, full therapeutic classes, or entire franchises—across countries and datasets.

Built-In Compliance

All analyses are compliant with HIPAA, anonymization guidelines, and pharma regulatory norms.

Our solution transforms longitudinal claims data into a time-ordered, sequential patient storyline, using ML, DL, and GenAI models to predict each patient’s next treatment action, including:

Which brand they will switch to

When the switch is likely to occur

Which physicians are likely to influence it

Where drop-offs, adherence risks, or escalation may occur

Just like predicting the next word in a sentence, our model predicts the next brand in the treatment sequence.

What It Does

GenAI Explanations:

Uses natural-language summaries to explain:

  • “Why this patient is likely to switch next”
  • “Which therapy they are most likely to choose”
  • “What clinical pattern drives the prediction”

Next-Brand Prediction Engine

ML/DL/GenAI algorithms predict the most probable next therapy line or brand for each patient.

Time-Sequenced Journey Reconstruction

ML/DL/GenAI algorithms predict the most probable next therapy line or brand for each patient.

Switch Propensity Modeling

Identifies which patients are most likely to switch within the next 30/60/90 days.

Physician Pathway Mapping

Tracks specialist flow influencing each patient’s journey: PCP → Specialist → Advanced Specialist.

Risk & Intervention Scoring

Scores every patient for dropout, non-adherence, access friction, and therapy discontinuation.

Journey Stage Classification

Clusters patients into dynamic cohorts like Early Dropouts, Late Diagnosers, Multi-Switchers, Chronic Stable Responders.

Why Chryselys?

Proactive Patient Retention

Identify patients likely to drop off or switch brands—engage HCPs before the moment of risk.

Precision Access Insights

Understand how payer policies influence switching and journey progression.

Optimize HCP Engagement

Field teams can understand which HCPs manage patients at high-risk journey stages.

Stronger Brand Defense

Predict competitive switching and intervene early with targeted content.

Stronger Forecasting & Planning

Move from backward-looking reporting to forward-looking, probability-based forecasting.

Better Patient Outcomes

Target education, PSP, and clinical interventions where they matter the most.

Who It’s
For

Commercial and Brand Leaders

Predict patient demand, brand defenders, and vulnerable segments.

Medical Field Force & MSLs Affairs & TA Leaders

Understand which HCPs are influencing switching and when to intervene.

Medical Affairs Teams

Identify unmet needs, adverse patterns, and late diagnosis cohorts.

Market Access Teams

See how access restrictions impact switching and abandonment.

PSP Teams

Predict early drop-out likelihood and improve adherence.

Analytics & Consulting Partners

Operationalize predictive journey intelligence for clients.

Why Patient Journey Prediction from Chryselys

Data agnostic

Sequence-first modeling, purpose-built for patient data

Predictive, not descriptive

AI engines inspired by language modeling (next-word prediction)

Works across markets, brands, and therapeutic areas

Delivers measurable commercial and medical value

Designed to Grow with You

Already deployed across leading pharma organizations in oncology, immunology, neurology, rare diseases, and chronic care, our Patient Journey Prediction platform continuously evolves with:

GenAI explanations of journey pathways

NLP extraction of journey signals from physician notes and publications

Predictive journey segmentation engines

Real-time patient switching probability scoring

This is predictive journey intelligence that grows smarter with every claim and every cycle.

Let’s Predict Your Next Patient Transition.

Reach out to explore a live demo or see switching prediction use cases in action.

We Have More To Offer

Revolutionize your business trajectory and achieve unprecedented growth with our committed partnership

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