Sarus remote query execution approach allows for data discovery from day 1. Researchers access synthetic samples, compute first statistics on cohorts and can even carry out full research projects without having to wait for bespoke compliance and regulatory processes.
Granting access to personal health data is extremely challenging under most data protection regulations (e.g.: HIPAA, GDPR, or CCPA). With Sarus, researchers can access high fidelity Synthetic Data for all data assets and explore and validate the opportunity to initiate research projects without wasting time on regulatory filing, internal privacy reviews, or working with anonymization vendors.
Hospitals, clinics, and other medical institutions can expose a portal with the list of their data assets. Researchers can explore datasets, identify cohorts of interest and validate fit without needing access to patient-level data. Projects get off the ground in a tenth of the time with higher chances of success.
Health-certified data warehouses come with stringent governance requirements with regards to data access and risk mitigation. Thanks to Sarus, data access is the exception and not the rule. Leakage risk is reduced to the maximum, making it easier to fulfill regulatory specifications.
Sarus enables researchers to validate their research or AI models across multiple data sources without needing access to patient-level data. By validating across multiple hospitals, even across countries, researchers can improve accuracy and reduce biases.
