Truveta Data

Truveta Data is a comprehensive real-world data (RWD) platform providing daily-updated electronic health record (EHR) data for more than 130 million US patients, sourced directly from leading health systems. Designed for life sciences researchers, health economists, and outcomes scientists, Truveta Data delivers the most complete, timely, and representative view of US patient care—with full traceability to the clinical source and alignment with FDA standards for data quality and audit readiness.

By linking complete EHR data with closed claims, mortality data, and emerging genomics capabilities, Truveta enables researchers to generate both clinical and economic insights across the entire care journey. The platform supports comparative effectiveness research, burden of illness studies, health economics and outcomes research (HEOR), drug discovery, and more—with the ability to link proprietary datasets for expanded research applications.

Core Data Assets and Scale

• 130 million+ electronic health records sourced directly from US health systems, covering all care settings with 5+ years of longitudinal history
• 7 billion+ clinical notes across all care settings and note types
• 100 million+ imaging studies, searchable and linked with rich EHR data
• 45 million+ unique devices
• 1 million+ deterministically linked mother–child pairs (1.4 million+ total)
• Closed claims available for 200 million+ patients across 100+ commercial payers, Medicare, and Medicaid, including medical and pharmacy claims dating back to 2016
• Data elements include diagnoses (SNOMED, ICD), procedures (CPT, HCPCS), medications (RxNorm, NDC), labs (LOINC), immunizations (CVX), and pharmacy data

Key Differentiating Capabilities

• Daily refreshes: Enables study of emerging therapies, captures early signals, and reduces reliance on costly trials and registries
• Clinical notes at scale: Unlocks any clinical concept of interest using expert-level AI, enabling novel research including staging, genomic variants, treatment rationale, and reasons for changes in treatment regimen
• Longitudinal imaging studies: Supports AI model development, outcome adjudication, and real-world treatment response analysis
• Integrated closed claims and mortality: Enables robust comparative effectiveness research with detailed cost, utilization, and outcomes data without requiring separate data linkage
• Pediatric and mother–child data: Covers underrepresented patient populations and addresses critical evidence gaps in children, including prenatal risk factors, birth outcomes, early drug and vaccine safety, and pediatric development
• Admission-discharge-transfer (ADT) data: Enables minute-level comparative effectiveness analysis of procedure times, recovery, and lengths of stay
• Broad payer mix: Coverage across 100+ payers for nationally representative studies, avoiding the commercial skew common in other RWD sources
• Regulatory-grade provenance: Full, audit-ready data provenance aligned with FDA standards
• Immediate, unlimited access: Row-level patient data available immediately without separately licensed data cuts

AI-Powered Data Normalization with the Truveta Language Model

• The Truveta Language Model (TLM) cleans and normalizes trillions of daily EHR data points, eliminating the need for manual data wrangling
• Data is standardized across systems, specialties, and formats for consistency
• Mapped to standard terminologies including SNOMED CT, RxNorm, and LOINC for analysis-ready insights
• Delivered with full traceability to the clinical source, meeting FDA standards for data quality and audit readiness

Unstructured Data: Notes and Images

• Clinical notes provide access to previously inaccessible insights including stage of illness, treatment decisions and reasons for regimen changes, patient preferences, genomic variants, and specific staging information (recurrence, clinical, and pathology staging)
• When paired with structured EHR data, notes and images enable deeper understanding of disease progression, treatment safety and effectiveness, and reasons for clinical decisions
• 100 million+ medical images are searchable and linked with longitudinal EHR data to support AI model development and real-world outcome studies

Maternal, Pediatric, and Genomics Research

• More than 1.4 million deterministically linked mother–child pairs enable research spanning pregnancy through early childhood
• Supports studies on prenatal risk factors, birth outcomes, early drug and vaccine safety, and pediatric development
• The Truveta Genome Project aims to create the largest and most diverse database of genotypic and phenotypic information ever assembled, linked to de-identified medical records within Truveta Data
• Genomics capabilities are designed to enable drug discovery, optimize clinical trials, and transform disease prevention, diagnosis, and treatment

Truveta Data is built on a trusted partnership with leading US health systems united by a shared mission of saving lives with data. The platform is immediately accessible with unlimited row-level data access, supports linkage with proprietary datasets, and is designed to meet regulatory-grade standards—making it suitable for FDA submissions, health economics research, and large-scale real-world evidence generation.