HealthNexus®

Designed for Discovery. Engineered for Outcomes.

HealthNexus is PurpleLab’s platform for exploration and discovery, built to reveal patterns, uncover relationships, and support real-world research. It streamlines analysis, accelerates evidence generation, and gives teams the precision and agility to turn questions into insight, and insight into impact.

What will you discover today?

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Built for Your Evolving Needs

Research

Understand the Landscape

Teams can size markets, characterize disease burden, and evaluate population health with billions of harmonized data points spanning medical claims, pharmacy claims, SDOH, mortality, and more. A unified common data model and clinically curated concept groups make it easy to compare diagnoses, treatments, utilization, and comorbidities across sources. Enriched patient attributes—including risk scores and socioeconomic factors—support more precise characterization, segmentation, and feasibility work. All in one environment.

Analyze 

Reveal What’s Driving Performance

Teams can examine patient, HCP, and HCO dynamics, treatment pathways, prescribing behavior, payer mix, and quality–outcome relationships using harmonized RWD and use-case-specific analytics.  With structured claims, enriched patient data, and longitudinal histories, teams surface patterns that shape access and performance. Insights arrive in minutes, not weeks.

Segment

Know the Audiences That Matter

HealthNexus supports precise segmentation of patients, providers, payers, and locations using multidimensional RWD enriched with demographics, SDOH, and clinical attributes. Clinical concept groups simplify segment creation based on diagnoses, treatments, comorbidities, or prescribing behavior. Our no-code environment enables non-technical users to confidently build custom audiences for advertising and cohorts for research. Leverage our best-in-class provider data to conduct deep HCP and HCO profiling for engagement, education, and benchmarking. Teams can isolate high-risk populations or high-value provider clusters quickly and accurately.

Activate

Curate and Deploy Ideal Audiences

Teams can explore, build, size, and distribute audience segments through HealthNexus’s self-service audience builder. Create custom DTC, HCP, and payer audiences optimized for your specific campaign needs, whether it’s awareness, branding, or demand-generation campaigns. Seamlessly deploy custom audiences to your choice of media/onboarding partners or omni-channel activation points (e.g., TV, programmatic, social, etc.).

Measure

See What’s Working

Organizations can track campaign performance, prescribing shifts, therapy adoption, and market share using longitudinal patient-level data enriched with clinical and socioeconomic detail. Built-in reporting and no-code tools enable monitoring of adherence, outcomes, and utilization without technical complexity. Whether through our APIs or in-platform, we support your measurement needs for continuous tracking of brand trends, script lift, etc. And, because our data is harmonized, your results remain more stable and comparable over time.

Optimize

Strengthen What Comes Next

With frequent data updates, flexible exports, and governed masterfiles, teams can refine targeting, messaging, resource allocation, and strategy as conditions change. Multidimensional RWD across patients, providers, payers, and SDOH supports granular feedback loops—such as comparing segment performance by geography, payer mix, or specialty. No-code tools make it easy to retest hypotheses or rebuild segments on demand. Iteration becomes continuous and grounded in real-world behavior.

See How HealthNexus Can Power Your Next Discovery

Our Data and CLEAR Claims

CLEAR Claims is the enriched, research-ready dataset PurpleLab creates by transforming raw, inconsistent claims into a unified view of real-world healthcare. Built through our structured transformation process, CLEAR Claims gives teams the flexibility to explore the insights they need with data that’s ready in minutes and available through the delivery method that works best for them.

CLEAR Claims links information across patients, providers, payers, and settings, and organizes it in an easy-to-use data model that removes engineering overhead. With CLEAR Claims, you get a trustworthy foundation that accelerates analysis, supports confident decision-making, and makes real-world data far more usable.

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Normalize and Structure Raw Healthcare Observations

We ingest and standardize high-volume medical and pharmacy claims into a consistent data model, resolving source-level variability in format, granularity, and update cadence. Additional enrichment layers, including SDOH attributes and mortality data, provide the clinical and demographic depth needed for robust evidence generation and analytics use cases.

Map Coding Variability Into Clinically Coherent Concepts

Claims data draws from hundreds of coding systems. We consolidate this variability by grouping semantically similar codes into clinically curated concept sets, enabling clearer interpretation and cross-source comparability. This creates concept-level consistency that supports cohort definition, treatment mapping, burden of illness studies, and downstream modeling.

Maintain Accurate Entity Relationships and Provider Hierarchies

Patients, providers, payers, and locations all connect through complex, multi-level affiliations. We continuously maintain these linkages (such as provider-to-organization hierarchies and site-based relationships), so analyses reflect the true structure of the healthcare delivery system. This ensures attribution, benchmarking, leakage analyses, and network studies are grounded in operational reality.

Enable Fast, Flexible Access Through Delivery, Extraction, or Platform Analytics

Once processed, CLEAR Claims is available for immediate use through no-code analytics, parameterized queries, custom extracts, or direct data delivery into your environment. Whether for rapid exploration, automated pipelines, or enterprise-scale evidence generation, CLEAR Claims delivers real-world data that is ready when and how teams need it.

Learn more about our CLEAR Claims

Why HealthNexus

On-Demand Analytics
Access billions of structured, enriched real-world data points (including SDOH and the largest mortality dataset) ready to power deeper and more precise analysis across patients, providers, and payers.
Robust Reporting
Run predefined queries and reports in minutes using trusted reference files for patients, providers, and payers. Get rapid answers without building from scratch.
Flexibility and Scalability
Integrate through HealthNexus’s API stream or explore the platform directly through an intuitive interface designed for everything from quick checks to enterprise-scale workflows.
Integrity and Transparency
Results stay consistent over time. HealthNexus manages healthcare vocabularies centrally, ensuring that differences in outputs reflect real changes in underlying data—not shifting code sets or query logic.
Embedded Clinical Expertise
Leverage more than 220,000 clinically validated concept groups that remove coding overhead and let teams focus on insight generation, evidence development, and strategic decision-making.
Managed Compliance
Work within a fully de-identified, HIPAA-compliant, patient-level environment. All records remain linkable to first-and third-party data via Datavant’s privacy-preserving tokenization.
Cost Efficiency
A no-code environment allows users to execute work that once required specialized SQL programming. Combined with extensive ready-to-use concept sets, HealthNexus reduces both lift and cost.
Access and Distribution
Extract data the way your workflows demand. HealthNexus supports direct file delivery, clean-room environments, and custom extractions built from trusted masterfiles—making it easy to access, distribute, and operationalize real-world data across your organization.

Discover What’s Possible with PurpleLab

From real-world data to real-world impact, we help healthcare and life sciences organizations move from insight to action, and drive the outcomes that matter.

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