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Lifebit’s Lakehouse platform maintains compliance with FDA and other regulatory guidelines through a built-in audit trail, secure data lineage, and privacy-preserving technologies. Data remains within each provider's environment, accessible only through controlled, permissioned access, and secure Airlock™ protocols ensure that any data exports are reviewed and approved.

Yes, the Federated Data Lakehouse™ can integrate data from multiple EHR systems, such as Epic, Cerner, and Meditech, and NGS providers like Tempus and Foundation Medicine. The platform supports various data retrieval methods, including API, Batch, FHIR, and direct database connections, allowing flexible data integration tailored to each organization’s systems and requirements.

A federated setup enables data to remain at its source, reducing risks associated with data movement, improving security, and maintaining data sovereignty. Researchers and analysts can access and query data across multiple sites without centralizing it, providing a seamless and compliant solution that also lowers infrastructure and maintenance costs.

The Lakehouse transforms diverse data types into standardized formats, through common data models such as OMOP for EHR and clinical data and formats like VCF for genomic data. This standardization allows data from different sources to be combined and analyzed cohesively, providing a unified view of multimodal data across sites for more meaningful insights.

Yes, the Lakehouse is equipped for real-time data retrieval and analysis, supporting time-sensitive research needs. Depending on the retrieval method (e.g., API, Batch FHIR), data is automatically harmonized and prepared for immediate use, enabling quick decision-making without delays.

Lifebit’s platform uses advanced AI-driven pipelines to harmonize complex multimodal data, such as NGS and EHR. It integrates tools like DRAGEN, Parabricks, Sentieon, and GATK for genomic data, ensuring high-quality data transformation and seamless integration into common data models.

Absolutely. Users can access harmonized datasets and build custom cohorts within seconds using Lifebit’s intuitive interface. Advanced analytics, including GWAS, VEP, and PRS, are accessible within the platform, with support for JupyterLab, RStudio, and other tools to enable in-depth research and discovery.

Lifebit’s Lakehouse provides a full data lineage with acquisition timestamps, methods, and provenance details for each dataset, ensuring compliance with FDA and other regulatory standards. Users have access to detailed audit trails for every step in the data lifecycle, making the Lakehouse a reliable, compliant solution for real-world evidence generation and data-driven insights.