Whitepaper
Our approach to data quality
Clinical trials 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 representative, complete, and timely patient journey data from EHRs, linked with closed claims, mortality, and genomics data.
This whitepaper provides insight into:
- How data from member health systems are accurately linked, expertly de-identified, and cleaned for immediate research use.
- Truveta’s approach to measuring data quality along dimensions including representativeness, completeness, timeliness, and cleanliness.
- The quality processes and automated systems that ensure all data meet the highest standards – and support use in regulatory submissions.
