Struggling with OMOP data quality?

Creating an OMOP CDM instance for the first time?

Adding a new data source to your OMOP instance?

Trying to run studies using your OMOP CDM?

Setting up OHDSI tools like Atlas and the DQD?

Navigate Complex Healthcare Data with Ease

Services

OMOP Dataset Generation

Use our OMOP ETL Suite to simplify and automate OMOP dataset generation, or allow us to help your team build custom in-house solutions

Data Harmonization

Automatically convert medical ontology codes and free-text to standard vocabularies with our OMOP ETL Suite and customized open source tools

Quality Improvement

Professional guidance on improving OMOP data quality, optimizing your ETL, and ensuring your instance meets OHDSI best practices

Real-World Data Curation

Expert assistance in curating, cleaning, and managing large volumes of real-world data with automated processes

Clinical Trial Data Curation

Unique solutions to translate healthcare data collected during product development to the OMOP Common Data Model

OHDSI Tooling Support

Streamline your OHDSI infrastructure setup with guided deployment of Atlas, DQD, and other essential analytical tools

About

Elnora Consulting, a US based consultancy, empowers organizations to more easily perform clinical research by transforming their diverse healthcare datasets into the open source Observational Medical Outcomes Partership (OMOP) Common Data Model (CDM). With a focus on OMOP data modeling, content normalization, and quality assurance, Elnora Consulting's professional services and custom software help unlock the potential of your data for research, innovation, and operational efficiency.

Principal Consultant

Elnora Consulting's principal consultant, Edward (Eddy) Frankenberger, has nearly 10 years of experience in the healthcare data space. A former EHR database developer, clinical data analyst, and engineer, he has worked closely with academic medical centers, research institutions, pharmaceutical companies, and government agencies on large-scale analyses of healthcare datasets to drive clinical research. He specializes in real-world data curation and the OMOP Common Data Model.

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