Meet YuiCleaner
Designed for healthcare organizations that need fast, accurate OMOP data standardization
Data Standardization Powered by Software & Expertise
Standardize data faster with automation and medical expertise
Built with a leading academic medical center, YuiCleaner converts raw or FHIR-based data into OMOP seamlessly. Let our team handle the full process — from ingestion to validation — so your data is always ready for research, analytics, and interoperability
Intelligent Data Mapping
Map diverse clinical codes quickly and accurately to streamline data migration
Automated Data Transformation
Transform raw data into OMOP with a process that simplifies ETL and accelerates standardization
Comprehensive Data Validation
Ensure data integrity with automated checks for missing data, data types, and OMOP compliance
Validated by Customers
165M+
Patient Records Processed
2M+
Patients’ Data Available
18+
Customers & POCs
Why convert your data to the OMOP Common Data Model?
Seamless Data Integration
Combine information easily from different sources, with the flexibility to update or add definitions in bulk
Simplified Data Analysis
Leverage a consistent format and glossary of terms to make data interpretation faster, clearer, and more reliable
Improved Data Reusability
Enable centralized management and collaborative research by reusing data without exposing personal information
TESTIMONIALS
What They Say About Us
Until now, databases used for observational research were often not standardized, and many researchers had to deal with them independently
By integrating Japan’s medical information using OMOP […] we can expect to contribute to global collaborative research using RWD and further promote observational research
– Professor, Department of Medical Informatics, Ehime University Graduate School
Before we encountered Yuimedi […] it was difficult to properly implement definitions for health checkup items using specific codes, and we couldn’t move forward
Thanks to the conversion to OMOP, we now feel confident in how we use our data going forward
-Medical Data Vendor
What are the use cases for Yuicleaner?
Quality Control for data analysis in clinical research
across hospitals, research institutions, biotech, and pharmaceutical companies
Quality Control for data providers
collecting information from hospitals
Internal data organization
within pharmaceutical companies
Data quality assurance for AI model generation
in the insurance sector