Platform · Healthcare Providers For hospitals, payers and laboratories

Standardize, analyze and decide with precision — health data in the OMOP standard

Specialized solutions in OMOP standardization and deployment of the Precision Data Platform for health data analysis. We help institutions standardize their analytical methodologies and use data with more quality and decision power.

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Services

OMOP transformation & Precision Data Platform

OMOP consulting

Consulting for OMOP CDM implementation: source assessment, architecture design, governance and team training (1-week RWE + OMOP course).

OMOP mapping and database construction

Conversion projects with AI agents and human review: Vocabulary Mapping (SNOMED, LOINC, RxNorm), clinical notes structuring and OHDSI-standard Data Quality Dashboard.

Precision Data Platform — Enterprise

Your data inside the platform, deployed in a private environment with no public internet: structuring, Notebooks with AI, ChatRWE, Epiquery, EpiReport and Data Factory.

See the Enterprise model
Methodology

How data is prepared for the OMOP model

Preparing data for OMOP (Observational Medical Outcomes Partnership) is fundamental to guarantee health data standardization and quality. Our methodology ensures your data is transformed to the highest international standards, enabling comparative analyses and multicenter studies.

  • Agnostic ingestion: structured databases, PDFs, forms, APIs, REDCap and institutional systems
  • Transformation DAGs generated by AI agents, approved by the engineer
  • Completeness, plausibility and conformance checks on every load
  • Conversion in weeks, not years
OMOP data preparation and standardization flow
The platform in action

Tools for every profile on your team — from managers to data scientists

01

No-code exploration

ChatRWE, Epiquery and EpiReport: natural-language questions, visual queries and exportable epidemiological reports — no programming.

ChatRWE
02

Notebooks connected to your databases

Python, R and SQL in an OMOP-ready environment, with custom code libraries and an agentic workflow to accelerate analysis.

Python/SQL Notebook
03

Continuous quality and governance

OHDSI-standard Data Quality Dashboard, audit trails and Semantic APIs that define who accesses what, at which aggregation level.

Data Quality Dashboard
Prefer video? Watch demos and lectures on our channel, or try the public Epiquery on DATASUS — no sign-up. Precision Data on YouTube

Ready to transform your institution's data?

From source assessment to an analytical environment in production — and, if it makes sense, to monetization as a Data Partner.

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