Patient Analytics

Unlock actionable insights along the patient journey.

Leverage AI/ML to make better commercial and medical decisions

For today's life sciences organizations, success often hinges on unlocking insights along the patient journey and extracting maximum value from an ever-increasing supply of real-world data. With AI/ML-powered analytics, you can gain insights into patient behaviors and patterns, along with the drivers and barriers of these behaviors, to influence and inform key commercial and medical decisions.

Download report

Combine the power of real-world data, therapeutic expertise, and emerging tech

Achieving patient analytics excellence is the key to transforming lives by ensuring the right treatment for patients at the right time. Make it possible with the powerful combination of granular insights and AI/ML-recommended actions.

By leveraging our patient data and journey analytics solutions, you gain access to deep domain/therapeutic experience, a comprehensive understanding of structured and unstructured patient-level data, and advanced data science techniques that reveal unexpected relationships across diverse data sources.

Let’s talk

What do you want to
achieve?

Create more effective strategies

Take corrective action

Focus on high-value segments

Drive personalized interventions

Improve patient outcomes

Deliver engaging insights

Evaluate your reach

Enable value-based decision-making

Ensure efficacy of treatments

Patient journey

Derive insights related to patient diagnosis, treatment, health outcomes, and their associated costs to inform decisions and actions.

Let's talk

Patient finder

Enable proactive measures by identifying patients who match a set profile—say, those diagnosed with a specific condition, currently on first-line therapy, and statistically likely to switch or stop treatment in the next few months.

Let's talk

Patient-centered customer segmentation

Drive payer and provider segmentation to identify high-value opportunities to guide ‘where to play’ and ‘how to win’ decisions.

Let's talk

AI/ML-driven analytics

Identify complex patterns in data, unlock greater insights, improve drug adherence using ML-based interventions like message alerts or targeted content, and deliver treatment pathway recommendations using predictive models.

Let's talk

Flow models

Capture key dynamics in diagnosis, treatment, and management—the roles played by providers at each stage, identify leverage and leakage points, and gain visibility on how therapy choices evolve from first- to later-line regimens.

Let's talk

Patient data BI

Cut through the complexity of patient-level data with self-service access and gain the ability to create intuitive visualizations.

Let's talk

Market sizing

Accurately assess diverse product scenarios, such as multi-indications, opportunities across specific populations, diagnostic test requirements, etc.

Let's talk

HEOR

Combine economic evaluation and real-world clinical data to weigh the costs of treatments against their health benefits and build a robust evidence base for outcomes.

Let's talk

Clinical trials

Support trials with data-based patient recruitment, site selection, and cohort studies.

Let's talk

Turn data into impact
at speed and scale

Information integration

Patient journey mapping

Consolidate disparate clinical, claims, and patient-generated data into a unified dataset, applying statistical techniques and triangulation across multiple sources—enabling holistic analysis and faster decisions.

Let's talk

Visualize end-to-end patient touchpoints—diagnosis, treatment, follow-up—to pinpoint engagement gaps, optimize interventions, and enhance care continuity.

Let's talk