Thermo Fisher Scientific announced a strategic data collaboration with HealthVerity, a leading real-world data (RWD) marketplace, to enhance data-driven clinical development and evidence generation for biopharma sponsors.
Through the agreement, Thermo Fisher’s PPD™ clinical research business will gain enterprise-level access to HealthVerity’s TaXOnomy® claims dataset, representing more than 270 million de-identified patient lives across the U.S. healthcare system.
The datasets will provide deep insights into disease prevalence, treatment patterns and provider activity, further strengthening the clinical research business’ data and AI driven services across trial feasibility and optimization, recruitment and real-world evidence generation. The agreement also provides access to a marketplace of more than 70 curated data sources, including electronic medical records, laboratory results and other specialty datasets. With streamlined access to longitudinal claims and linked datasets, the business can deliver more precise site selection strategies and improved startup timelines.
“This collaboration advances our ability to integrate high-quality, linked healthcare data into clinical development,” said Krishna Cheriath, vice president, head of clinical research digital and AI, biopharma services, Thermo Fisher Scientific. “By utilizing one of the largest integrated healthcare data ecosystems with our AI-enabled analytics, we can generate robust real-world evidence to support our customers across the clinical and post-approval continuum.”
In addition, the collaboration enhances the business’ real-world evidence and health economics and outcomes research (HEOR) offerings across PPD™ CorEvitas™ Clinical Registries and PPD™ Evidera™ solutions, enabling faster analytics and expanded registry-linked claims capabilities.
“We’re proud to support Thermo Fisher’s PPD clinical research business in advancing data-driven clinical development,” said Joseph Satili, chief commercial officer, HealthVerity. “With enterprise access to robust real-world insights, teams can move faster and with greater confidence—from feasibility through evidence generation—improving how studies are designed and executed.”