# Edence Resolve: AI-Powered OMOP Harmonisation for EHDS
> Discover Edence Resolve, an AI-assisted tool for OMOP data harmonisation. Scale your healthcare data engineering and prepare for EHDS compliance.

Tags: omop, health-data, ai-healthcare, ehds, data-harmonisation, medtech, health-informatics
## Edence Resolve: AI-Powered OMOP Harmonisation

## The Context: EHDS and OMOP Compliance
* The European Health Data Space (EHDS) goes live by 2029.
* Every health data holder will need to harmonise to the OMOP Common Data Model.
* Current manual ETL processes are a bottleneck due to a shortage of data engineers.

## The Product: One Workspace, Three AI Modules
1. **Profiler**: Understand source database intelligence; runs on local models to ensure patient data never leaves the environment.
2. **Mapper**: Semantic matching from source terms to OMOP concepts using transformer reasoning and confidence scoring.
3. **Generator**: Produces production-grade SQL with deployment options for local (privacy) or cloud (AWS Bedrock) environments.

## Business Impact and ROI
* **Cost Reduction**: Typical OMOP projects cost €30–40K; Resolve aims to free up ~€100K/year.
* **Efficiency**: Reduces analyst lead time per ETL from 20 days to 10 days.
* **Scalability**: Enables unlimited throughput to meet EHDS scale without increasing headcount.

## Trust and Compliance
* **Local Deployment**: Sensitive data stays on-site.
* **AI Act Ready**: Built-in explainability and traceability.
* **Certified Infrastructure**: Uses medically certified AWS Bedrock; no public LLMs used.

## Roadmap and Traction
* **Current Status**: Profiler and Mapper modules are production-ready; Generator in beta.
* **Milestones**: Cupcake Beta Release targeted for late summer 2026.
* **Traction**: Active co-development partnerships and interest from global pharma leaders like J&J.
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