Clinical trials and registries have traditionally been the gold standard for healthcare data. These closed systems exhibit high data quality, with complete longitudinal patient records across data domains in a clean, analysis-ready format. However, achieving this level of quality involves significant manual labor, a lengthy timeframe for data extraction spanning months to years, and results in insights that are not easily generalizable to other areas.
Truveta aims to deliver superior-quality data compared to clinical trials and registries by offering comprehensive patient records that are clean, analytics-ready, trusted by regulators, representative of a large and diverse population. We also do so more efficiently, striving to make data available for analytics within one day of care provision.
This whitepaper provides insight into:
- How healthcare data from members is 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 systems Truveta is building to support regulatory submissions