Transform Real-World Data into Actionable Insights for Pharma
Leverage TroveHealth’s AI-powered data platform to accelerate evidence generation, improve clinical operations, and unlock real-world intelligence at scale.
What We Solve for Pharma
Real-World Data Challenges. Solved.
Pharma companies struggle to derive reliable insights from fragmented clinical data — incomplete records, inconsistent formats, and unstructured clinical notes make analysis slow and inaccurate. TroveHealth’s platform normalizes, enriches, and validates data so your teams can trust what they see and accelerate critical decisions.
Key Capabilities
Advanced AI Data Normalization
AI that ingests diverse clinical sources (CCDA, PDFs, EHRs) and outputs standardized FHIR R4 data with high accuracy.
Clinical and Claims Linkage
Connect care episodes across datasets to build richer patient journeys and real-world evidence (RWE) cohorts.
Scalable Quality Engines
Automated data quality checks, validation rules, and confidence scoring to quantify trust.
Analytics & Reporting
Built-in dashboards, cohort builder, and export formats for downstream modeling and regulatory submissions.
Benefits for Pharma
What Pharma Teams Gain
Accelerate RWE Generation for regulatory & HTA submissions
Improve Clinical Ops Efficiency with normalized data pipelines
Reduce Manual Chart Review Costs
Enable Advanced Analytics with clean, linked datasets
Support Market Access & Safety Analytics
Data Quality & Trust
Built for Accuracy, Transparency, and Compliance
TroveHealth combines explainable AI with clinical ontologies and rule-based checks to ensure:
High fidelity clinical data capture
Traceability from raw source to transformed output
Confidence scoring you can quantify
Compliance with privacy and security standards
Pharma Use Cases
Real-World Evidence Generation
Identify cohorts, outcomes, and longitudinal patterns with clean, structured data.
Safety & Pharmacovigilance
Rapidly query events and link to clinical context from EHRs.
Clinical Trial Optimization
Reduce site burden and accelerate patient identification from real world records.
Health Economics & Outcomes Research (HEOR)
Build datasets for cost-effectiveness and utilization analyses.
How It Works
Ingest & Normalize
Connect clinical sources → AI standardizes to FHIR.
Curate & Validate
Automatic quality scoring and clinician review workflows.
Analyze & Activate
Export, visualize, or integrate into ML models and reports.
Integrations & Ecosystem
EHR connectors
Common Data Models (OMOP, PCORnet)
Data warehouses
Analytics tools (e.g., Snowflake, Tableau)
Testimonials
“TroveHealth elevated our RWE capabilities and reduced chart review effort by 40%.” — Director, RWE Analytics
Ready to unlock real-world evidence faster?
Get in Touch
Interested? Get in touch with us today so we can find a way to work together.
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