Briefing
Advancing cardiovascular research with Truveta
Cardiovascular research depends on complete, longitudinal clinical data to accurately characterize disease severity, treatment response, procedural complexity, and long-term outcomes. Yet many traditional real-world data sources lack the imaging, device-level detail, hemodynamics, laboratory trends, and longitudinal clinical context needed to generate credible cardiovascular evidence across the full patient journey.
This briefing explores how Truveta enables researchers to generate high-quality cardiovascular real-world evidence using continuously updated, regulatory-grade EHR data enriched with clinical notes, imaging, device identifiers, catheterization data, echocardiography measurements, claims, and mortality.
Download the briefing to explore:
- How multimodal AI model training and validation using cardiovascular data (EKG, echo, CT/MRI) can uncover disease patterns, progression, and treatment response.
- How precise SNOMED-based cardiovascular cohorts can improve trial feasibility, site selection, and patient identification.
- How continuously updated longitudinal data can support earlier detection of cardiovascular safety signals and device-related risks.
- How real-world data can track therapy adoption, device utilization, revascularization strategies, and variation in care across populations.
- How complete cardiovascular patient journeys can support outcomes research across imaging, device data, clinical severity, and social determinants of health.
