GENEVA OS™
Generative Evidence Acceleration Operating System, the first operating system for healthcare evidence generation
GENEVA OS™ represents a critical infrastructure layer for the healthcare ecosystem that can rapidly, accurately, and transparently convert healthcare data into personalized evidence. Seamless enhancement of your own data using existing cloud infrastructure. Reduce data management expenses while maintaining security.
Nodal Patient Deidentification and Query Time Interval Encoding across the GENEVA OS platform for members of the Atropos Evidence Network.
Atropos Health’s proprietary technology enables frictionless federated multi-nodal queries, safe harbor encoding, and cross-node queries without requiring data transfer, enabling enhanced data possession and security footing for data holders.
Members of the Atropos Evidence™ Network can leverage longitudinal patient data from participating Atropos Evidence Network sources, ensuring the most robust deidentified patient records while maintaining data possession and security.
New proprietary technology enables federated multi-nodal queries, safe harbor encoding, and cross-node query without requiring data transfer to...
Our Results in Numbers
100%
100% installation behind your firewall.
50x
Patient timeline objects make 50x faster and 30x cheaper temporal queries using our custom domain-specific query language, TQL (temporal query language).
273x
Query run time is 273x faster.
Atropos Health catalyzes clinical evidence generation
Customers rely on Atropos Health’s portfolio of evidence-generation tools through the federated installation of GENEVA OS™ in their internal cloud data environment.
We work with your cloud provider for a seamless install. We are cloud independent, secure, federated. No data moves.
Federated Nodal Deidentification
Clinicians and researchers get a more complete view of patient health history with every query through deidentified longitudinal records, including death information.
Speed and Control
Studies can be done much faster, in minutes, because data doesn’t need to be moved and combined.
Secure Configuration
GENEVA OS installs behind your firewall and sensitive patient data stays where it is.
Atropos Health combines rapid cohort creation with automated, state of the art data science.
Our technology converts medical data to an in-memory database that stores patient timeline objects.
These patient timeline objects make 50x faster and 30x cheaper temporal queries using our custom-developed, domain specific temporal query language, TQL.
Query outputs feed our automated analytics pipeline to build user-ready reports and key artifacts in seconds, via templated observational study designs and advanced statistical methods.
Temporal query language (TQL) enables rapid search of large medical datasets for particular patient features in a specific sequence and/or timeframe. Queries in TQL take less time to generate, run, and are significantly shorter than analogous queries written in SQL. These efficiencies are key components of Atropos’ rapid real-world evidence generation.
Select features of TQL that enable rapid cohorting:
It utilizes knowledge graphs so medical concepts can be queried, rather than requiring specific knowledge of each medical dataset. This also means that the same queries can be run across multiple datasets simultaneously, so long as they are structured similarly.
Commands are designed and leveraged by Atropos clinicians. They mimic the way physicians think. This makes it easy to translate questions in conversational format into commands.
Faster technology, deployed your way
Leverage best-in-breed methods to create both publication-grade and regulatory-grade studies. Multiple user experiences accelerating all user types and experiences for high-quality, confident answers.