Atropos Unveils Largest De-Identified Patient Data Source, New Tech for Data Security & Linkage

What You Should Know:

–  Atropos Health, a leader in automating high-quality real-world evidence (RWE), has launched Nodal Patient Deidentification and Query Time Interval Encoding (Nodal Deid) within the GENEVA OS platform for Atropos Evidence Network members.

–  This advancement allows members to securely enhance patient longitudinal records with deidentified data mapped to the HIPAA safe harbor standard while retaining full control over their data. Linkage occurs only at query time, eliminating the need for data transfers and ensuring source data remains protected.

Atropos Health Enhances Real-World Data Utilization with Nodal Deid and GENEVA OS™

Atropos Health, developer of GENEVA OS™, is advancing real-world data (RWD) analysis to close evidence gaps in healthcare. By eliminating traditional data duplication and transfer, Nodal Deid enables secure, real-time queries across the Atropos Evidence Network via ChatRWD®, delivering publication-grade insights in minutes. Mortality data from Veritas Data Research is automatically integrated, with quality assessed through Real World Fitness Score® (RWFS).

Health systems can bridge data gaps while maintaining full control and generating passive revenue. Data platforms enhance usability, reduce costs, and increase demand without transactional complexities. Life sciences companies gain transparent access to high-quality, de-identified data, replacing siloed datasets with targeted, multi-source queries.

Trusted by industry leaders like Merck and Johnson & Johnson, Atropos Health is redefining real-world evidence, accelerating research, and improving patient care through seamless, high-quality data integration.