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Trusted Data Factory

AI-powered data harmonization and mapping to OMOP, transforming clinical data into research-ready formats in hours.

Solution by Lifebit
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Overview

Trusted Data Factory, part of the Lifebit Platform, is an AI-powered data harmonization solution designed to ingest, clean, standardize, and map clinical and real-world health data to common data models — including the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Built for researchers, data leaders, and life sciences organizations across both public-sector and enterprise settings, it transforms fragmented, messy source data into structured, research-ready formats in hours rather than weeks or months.

The platform supports end-to-end processing across the full data standardization lifecycle, handling structured and unstructured sources such as claims, electronic health records (EHR), genomics, and real-world data — all within a single, scalable environment. With AI-driven automation at its core, Trusted Data Factory eliminates the burden of manual mapping and delivers compliant, audit-ready outputs with full data lineage tracking.

Core Capabilities

  • Data Profiling: Automatically profiles source data and applies auto-fixes to ensure compatibility for loading into relational databases.
  • Mapping to Common Data Models (CDM): Maps, reviews, and approves data mappings to CDMs — including OMOP — with greater accuracy than competing platforms.
  • Extract, Transform, Load (ETL) Processing: Provides end-to-end processing across the entire data standardization lifecycle, scaling across millions of observations and delivering results faster than other platforms.
  • Standardized Data Quality Reporting: Automatically generates reports for evaluating data quality, leveraging best-in-class data quality dashboard tools.
  • AI-Powered PII Detection and Variable Mapping: Detects personally identifiable information (PII), maps variables, and standardizes complex biomedical data in minutes, complete with full audit trails.

What Sets Trusted Data Factory Apart

  • Rapid Mapping: Delivers research-ready data in under 48 hours across both structured and unstructured sources.
  • Multi-Modal Support: A single platform capable of handling claims, EHR, genomics, and real-world data at scale.
  • Built for Compliance: Offers lineage-tracked, IL4-ready, and fully auditable workflows from data ingest through to output.
  • One-Click Standardization: Transforms messy source tables into OMOP and other models with a single click, replacing manual mapping processes entirely.

Map to OMOP: Key Features for Secure, Scalable Harmonization

  • Automated ingestion, quality assurance, and mapping to OMOP, FHIR, and other CDMs.
  • IL4/FedRAMP-aligned governance built directly into the platform.
  • 24/7 support and expert-led implementation services.
  • Deployment within your own GovCloud environment, with no data movement required.
  • Unifies fragmented health data in days rather than months.

Platform Integrations and Ecosystem

  • Ingestion from FHIR sources, with output mapped to OMOP and other common data models.
  • Works alongside complementary Lifebit products including the Trusted Research Environment, Trusted Data Lakehouse, TargetID, and Trusted Operational Governance to eliminate data silos and unify organizational strategy.

Trusted Data Factory is trusted by thousands of researchers across public-sector and enterprise organizations. It is designed for deployment in secure, compliant cloud environments — including GovCloud — making it suitable for highly regulated life sciences and government health data use cases where auditability, governance, and scalability are essential.

Meta

Domain
Clinical & Health Data Management
Subdomain
Health Data Harmonisation & Governance
Software type(s)
Workflow Automation
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCRODiagnostics / IVDPharma
Development stage(s)
ClinicalPost-Market & RWEResearch & Discovery
Target user(s)
Research ScientistBioinformatician / Computational ScientistIT / Systems Admin / Data Engineer
Compliance standard(s)
HIPAAGDPR
Tag(s)
Uses AI