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To make confident decisions aligned to real-world healthcare delivery, access, outcomes, and value, organizations must trust the RWD underpinning the evidence they generate. At Carelon Research, we've learned this trust isn't earned by size alone.
It relies on whether the data source has clear provenance, traceable lineage, rigorous quality measures, and integration capabilities. Determining this comes down to a set of questions worth asking of any data source.
Primary data with clear provenance, including closed claims data from Elevance Health, that can be traced to its origin ensures authenticity and the ability to withstand scrutiny at all levels.
A complete, transparent record of the data's lineage, including all transformations and standardization, ensures analyses are reproducible, traceable, and easy to troubleshoot.
Rigorous source-level cleaning and normalization eliminate inconsistencies, creating analysis-ready data and preventing biased outputs.
Proven integration ability with existing data sources, including third-party data sources, reduces friction, avoids rework, and accelerates time to insight.
To generate evidence that can withstand scrutiny, organizations need data built for analysis from the start. Carelon Research has used its data for decades across health economics, epidemiology, clinical, safety, and health services research.
That continuous use has created a resource designed for rigorous analysis, practical application, and confident decision-making. Customers use Carelon RWD to understand patient journeys, identify market opportunities, develop and validate healthcare solutions, and support strategic decisions across the product lifecycle.
Carelon Real World Data is differentiated by where it comes from and how it has been prepared: payer-sourced U.S. data, shaped by scientific expertise.
Carelon Real World Data is one of the few RWD sources originating from a U.S. payer. By capturing claims across diverse providers, health systems, and pharmacies, it provides a unified view of clinical care, healthcare utilization, and cost for enrolled populations.
For greater depth and context, Carelon Research enriches this payer-sourced data with third-party sources.
Our data’s quality is a direct result of its history. Normalization, code corrections, and protocols for missing values are essential for our own teams’ use of the data for analytics.
This origin contributes to data that is clean, consistent, and ready for analysis.
THE PLAYBOOK
See how integrated, analysis-ready RWD can accelerate evidence generation and support more confident decisions across the product lifecycle.
Breaking Down Data Silos: How integrated RWD accelerates evidence generation
Learn what to look for in an RWD partner and how integrated data can help your teams minimize siloed data, generate evidence faster, and make more informed decisions.
Learn more about the integrated dataset designed to support real-world evidence generation.
