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Transform Healthcare Research with Enterprise-Grade OMOP
A complete platform for turning your healthcare data into research-ready OMOP, with tools that go far beyond Atlas.
Is Your Data Stuck in the 20th Century?
The OHDSI ecosystem offers powerful possibilities, but most organizations struggle to unlock them.
Rigid Data Architectures
Researchers work on stale snapshots, without common data model, and no way to do collaborative research across institutions
Limited Toolboxes and Restricted Use Cases
No data upload, Not IRB integration, No private workspaces, No ID/DeID, No lineage, auditability or tracking of mapping and data elements
Half-baked OMOP Transforms
Limited to single departments or incomplete mapping, multiple DBs for PHI and de-identified data, batched based, brittle and/or poorly document. Most vendors deliver one-time ETL which you then use every month or quarter to rip and replace your data. Researchers wait weeks or months. Changes in the underlying data go un-noticed and undocumented. All of this makes research difficult to replicate across multiple sites.
Cognome's Comprehensive OMOP Solution
Service + Product Bundle: A complete ecosystem for transforming healthcare data into actionable research insights. All running in your environment. Your data. Your way. All the time.
Data Transformation Services
Cognome I/O
Cognome Search
Data Transformation Services
Most OMOP transformations fail or stall on concept mapping – the tedious, error-prone work of mapping thousands of always changing local EHR terms to standardized OMOP vocabulary. Our AI-powered approach changes everything.
LLM-Powered Concept Mapper
The OMOP Concept Mapper is a four-stage, LLM powered pipeline designed to automatically translate proprietary EHR terms into standardized concepts within the OMOP Common Data Model (CDM). The pipeline works by first expanding the input term, then retrieving candidate concepts from a knowledge graph, filtering out irrelevant matches, and finally selecting the best concept with a confidence score and justification for a human to approve. Accuracy is currently running at high 90th percentile.
Argos Interrogator
Argos Interrogator is a core component of Cognome I/O. It is the metadata intelligence layer. Its job is to automatically understand, document, and govern the source data as it gets transformed into OMOP. Specifically, it does four things:
1. Source Schema Interrogation: Automatically reads and understands the structure of a your source data systems (like Epic CLARITY), so you don't have to manually map it out.
2. Document Change Management: Tracks all schema changes over time, so if something upstream changes in the source system, Argos catches it and documents it.
3. Metadata Management & Concept Mapping: Links source concepts to OMOP vocabulary, and the OMOP Concept Mapper (the LLM-powered auto-mapping tool) sits here as well.
4. Data Quality Governance: Enforces quality rules on the underlying data and alerts on violations. This is distinct from the data quality reports in Search, which are about the quality of data within a cohort.
Multi-Modal Data Support
We bring all your data into your OMOP CDM - and expand the OMOP ontology to allow for it. This includes biological, clinical, health system community and societal data as well as structured EHR data, notes, images and data from devices. Everything is FAIR: Findable, Accessible, Interoperable & Reusable. Which makes it machine interpretable. We store the data in our semantic knowledge graph.
Supported Data Sources
Oracle Health (Cerner)
MediTech
Genomics
Claims
Imaging
Waveform
Cognome I/O
Enterprise data transformation engine with real-time capabilities, complete lineage, and platform-agnostic architecture.
Platform Agnostic
Complete Audit Trail
Version Control
Real-Time Updates
Dynamic De-identification
Privacy-Preserving Linkage
Cognome Search
Cognome Search takes all the features that are available in OHDSI's Atlas and expands them and makes the features easier to use.
Cohort Upload
Because we support the ability to de-identify and re-identify data based on your IRB approval. You can import existing MRN lists directly into Search for analysis. Integrate external cohorts from registries, clinical trials, or collaborative studies.
Enable research on pre-identified patient populations without manual chart review.
Private Workspaces
Create secured analytic enclaves for specific research teams. Sometimes you don't want to give access to your entire data set to all researchers. Extract focused 'mini-OMOP' datasets around specific cohorts for focused studies.
Enable secure collaboration without exposing entire database.
IRB Integration
Real-time integration with institutional IRB systems. IRB protocol approval automatically grants appropriate data access.
Eliminate manual IRB compliance workflows and reduce risk while maintaining only one database as your source of truth.
Unified Honest Brokering
Democratized access: Single database handles de-identified, coded limited and PHI data. Automated honest brokering based on IRB approval levels.
Simplified architecture reduces IT burden and eliminates data sync issues.
Dynamic De-identification
Automatic de-identification based on IRB protocol permissions. Researchers see only the data their protocol allows.
Reduces compliance burden and risk automatically.
ElasTex: Integrated NLP
Query clinical notes text directly, not just structured data. Build cohorts using concepts from unstructured clinical documentation.
Access the 80% of clinical data trapped in free text.
Cognome’s platform creates a unified ecosystem where you don’t just store data, you learn from it. Combine a real-time Learning Health System + embedded predictive analytics + secure, governed data collaboration and turn insights into action.
Governance, Privacy, and Honest Brokering
Built-in compliance infrastructure that protects patient privacy while enabling powerful research capabilities.
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Complete audit trail: patients → data → users → IRBs and reverse
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Dynamic de-identification AND re-identification based on IRB approval
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Automated honest brokering workflows
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Privacy-preserving record linkage across institutions
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Governance rules determine what each user sees
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Supports reproducibility standards for publication and regulatory compliance
IRB Compliant
HIPAA Ready
Full Audit Trail
Role-Based Access
Flexible Engagement Models
Choose the approach that fits your organization's resources and objectives.
Full-Service Model
Cognome handles all data transformation work
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We maintain and update your OMOP instance
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Ongoing support and optimization
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Client gets finished product + tools
Train-and-Enable
Cognome performs initial transformation
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We train your team to manage updates
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Client manages the entire end-to-end process
- Ability to license and extend source code if needed for custom solutions
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Cognome provided support as needed
Hybrid Model
Mix based on your resources and preferences
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Cognome handles complex initial build
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Client maintains routine updates
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Customized partnership based on your capabilities and budget
Why Cognome
World-class team with proven implementation experience.