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





Uses natural-language summaries to explain:

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

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

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

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

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

Clusters patients into dynamic cohorts like Early Dropouts, Late Diagnosers, Multi-Switchers, Chronic Stable Responders.
Identify patients likely to drop off or switch brands—engage HCPs before the moment of risk.
Understand how payer policies influence switching and journey progression.
Field teams can understand which HCPs manage patients at high-risk journey stages.
Predict competitive switching and intervene early with targeted content.
Move from backward-looking reporting to forward-looking, probability-based forecasting.
Target education, PSP, and clinical interventions where they matter the most.

Predict patient demand, brand defenders, and vulnerable segments.

Understand which HCPs are influencing switching and when to intervene.

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

See how access restrictions impact switching and abandonment.

Predict early drop-out likelihood and improve adherence.

Operationalize predictive journey intelligence for clients.
Already deployed across leading pharma organizations in oncology, immunology, neurology, rare diseases, and chronic care, our Patient Journey Prediction platform continuously evolves with:




This is predictive journey intelligence that grows smarter with every claim and every cycle.
Reach out to explore a live demo or see switching prediction use cases in action.
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