Extract actionable insights from structured and unstructured​ patient data to predict and influence patient behavior​

Patient Analytics

Several market forces are driving the need for patient-level insights such as new measures of value, specialty therapies for specific patient groups, increased treatment options and expanding payer involvement and influence. Patient-level analysis can impact key decisions across the organization, both commercial and medical. Axtria’s deep expertise in Patient Analytics and associated data sources leverages a combination of deductive and inductive logic for solving patient analytics problems.

Key Offerings


Patient Journey
with RWE

​​Leverage a range of traditional and RWE data sources for deep, longitudinal patient-level insights into patient diagnosis, treatment,  health outcomes and their associated costs.


Market Opportunity

​​Leverage patient-level data for market sizing and evaluation in various product situations, such as products with multi-indications, used for specific populations, requiring a diagnostic test etc. 


Segmentation with
Patient Data

Drive payer/ provider segmentation with patient-level data to identify high-value opportunities. This helps guide ‘where to play’ and ‘how to win’ decisions, allowing for focus on specific high-value segments.

Customer Success Stories

Explore How Axtria Helps Life Sciences Businesses Achieve Commercial Success.

Automated Email Campaigns Support The Patient Assistance Journey For Enhanced Treatment Outcomes

Diagnosis of a rare disease, lack of therapies, and small patient populations all lead to significant challenges in rare disease management and support of these patients. ...

Patient Flow Analytics
Patient Flow Analysis For A Global Oncology Leader

Read this illustration to know how Axtria engaged with a global leader in innovative oncology therapies in contextualizing the patient flow by specific objectives, identifying spec ...

Patient Adherence
Targeted Field Operations With Predictive Analytics For Drug Adoption

Sophisticated Machine Learning (ML) algorithms can help identify high-probability adopters based on past trends, increasing sales conversions, prescription volume, and benefitting ...

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