A real-world data platform is a system that aggregates, standardizes, governs and analyzes real-world data such as EHRs, claims and registries, so it can be turned into real-world evidence.

Data integration, standardization to a common data model, cohort building, analytics and modeling, governance and compliance, and interoperability with other systems.

Data aggregators, analytics platforms, EHR and claims networks, registry platforms, federated data networks, and end-to-end real-world evidence platforms.

Assess data breadth and depth, data quality, regulatory-grade credentials, analytics power, interoperability, and security and privacy protections against your specific use case.

An RWD platform focuses on managing and preparing real-world data. An RWE platform extends that to generating evidence, often adding study design, analytics and reporting on top.

A common data model standardizes data from different sources into one structure, so analyses can run consistently and results can be compared across datasets.

A federated network lets analyses run across multiple datasets without moving the data, protecting privacy while drawing insight from many sources.

Through validation, standardization, provenance tracking, completeness checks and ongoing quality monitoring built into the platform.

Fit-for-purpose data, documented provenance, validated quality, audit trails and processes aligned with regulatory expectations for real-world evidence.

A data warehouse stores data. A real-world data platform adds the standardization, governance, analytics and study tooling needed to turn that data into evidence.

RWE Connect 2026 is a two-day real-world evidence summit in Boston bringing together the RWE, HEOR and data leaders who generate and apply real-world evidence, with 40+ speakers and 150+ attendees.

14 to 15 October 2026 at the Hampton Inn by Hilton, Boston Seaport District, Boston, MA.