Whitepaper
Our approach to data quality
Clinical trials and registries have long served as the cornerstone for evidence generation, offering valuable insights into the safety and effectiveness of medical interventions. However, researchers are increasingly looking to real-world data (RWD) captured from healthcare encounters as a promising solution for representative and generalizable data. These data must be cleaned and validated to be useful for research, given that they are often fragmented, heterogeneous, and subject to measurement and documentation errors.
Truveta delivers the most complete, timely, and clean regulatory-grade EHR data, representative of a large and diverse real-world population.
This whitepaper provides insight into:
- How healthcare data from member health systems are securely stored, cleaned, and de-identified for use in Truveta Studio
- Truveta’s approach to measuring data quality along dimensions including representativeness, completeness, timeliness, and cleanliness
- The quality processes and systems in place to support regulatory submissions using Truveta Data
