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Yuricleaner

by Yuimedi · Since 2020
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ActiveAvailable globallyCloud
Quick facts
VendorYuimedi
Year launched2020
StatusActive
Location日本橋堀留町1-9-10 日本橋ライフサイエンスビル 8F, Chuo-ku, Tokyo, Japan
Countries servedGlobal
Languages15
Integrations1+
Free tierN/A
Free trialN/A
Contact salesYES

About Yuricleaner

Yuricleaner is a data standardization software from Yuimedi that provides insights and research capabilities for effective analysis. It combines YuiQuery Insights, YuiQuery Research, and expert services so users can use vast amounts of data efficiently. With a platform that manages over 165 million data points and includes insights from more than 2 million research sources, Yuricleaner supports organizations in making informed decisions. The software also provides a comprehensive overview of best practices and industry trends through its services. Key capabilities: data management research analysis insights generation user support industry news Best for: data analysts and researchers that need standardized data for in-depth analysis.

Yuicleaner by Yuimedi stands out as a specialized solution purpose-built for one of the most challenging areas of data quality—medical data standardization. Rather than positioning itself as a broad data quality platform, Yuicleaner zeroes in on a specific but critical need: converting fragmented or raw clinical datasets, including FHIR-based sources, into the OMOP Common Data Model (CDM). This targeted focus allows it to serve hospitals, research institutions, pharmaceutical companies, and medical data vendors with a tool that not only cleanses and transforms data, but also ensures that it is usable for advanced analytics, research, and regulatory compliance. What makes Yuicleaner particularly compelling is how it blends intelligent automation with medical domain expertise, offering both scale and precision in a field where errors can have significant downstream consequences. Despite lacking detailed visuals or interactive demos, Yuicleaner is described as a no-code, easy-to-use platform. This suggests a simplified interface built for accessibility by users who may not have a strong background in data engineering or software development.

Pros & Cons

Pros
  • OMOP Expertise: Offers full-service automation for OMOP CDM conversion, a gold standard in medical data research.
  • End-to-End Solution: Handles ingestion, transformation, mapping, and validation—reducing burden on internal teams.
  • Clinical & Technical Accuracy: Combines medical expertise with software automation for reliable output.
  • Proven Impact: Over 165M patient records processed with multiple customer endorsements.
  • Versatile Use Cases: Supports pharma, hospitals, insurers, and research institutions.
  • Improves Research Quality: Enables global collaboration, reusability, and simplified analysis.
Cons
  • Opaque Pricing: No clear pricing structure or plan details—requires booking a demo.
  • Limited Public Proof: No visible case studies or performance metrics beyond testimonials.
  • Focused Scope: Designed specifically around OMOP standardization, may not support non-OMOP formats or alternative data models.

Features

Key features

OMOP Data Standardization

Automates and accelerates the conversion of diverse medical data into the standardized OMOP Common Data Model.

Intelligent Data Mapping

Streamlines the accurate mapping of various clinical codes for efficient data migration.

Automated Data Transformation

Converts raw data to OMOP format through a streamlined batch process, simplifying ETL.

Comprehensive Data Validation

Ensures data integrity with automated checks for missing data, types, and OMOP compliance.

Medical Expertise Integration

Combines automated software processes with human medical expertise for high-quality data standardization.

Offline Operation for Sensitive Data

Can operate offline, making it suitable for handling sensitive medical data while maintaining high security.

Additional features

Automated OMOP Data Standardization

Automates and accelerates the process of standardizing medical data to the OMOP CDM.

Expertise Integration

Combines automation with medical expertise to ensure high-quality data standardization.

FHIR-based Data Conversion

Capable of streamlining conversion from FHIR-based data to OMOP.

Full Process Handling

The Yuimedi team handles the entire data standardization process, from ingestion to validation.

Intelligent Data Mapping

Streamlines the mapping of diverse clinical codes for faster and more accurate data migration.

Automated Data Transformation

Converts raw data to the OMOP format through a streamlined batch process.

ETL Simplification

Simplifies the Extract, Transform, Load (ETL) process.

Accelerated Standardization

Speeds up the overall data standardization process.

Comprehensive Data Validation

Provides automated checks for missing data.

Data Type Validation

Automatically verifies data types.

OMOP Compliance Checks

Ensures data adheres to OMOP compliance standards.

Improved Integration of Medical Data

Facilitates easier comparison and integration of data from different sources due to standardization.

Bulk Data Definition Changes

Allows for changing or adding data definitions in bulk.

Simpler Analysis of Medical Data

Enables easier data analysis due to the standardized format.

Standardized Glossary of Terms

Includes a standardized glossary of terms to simplify data interpretation.

Improved Reusability of Medical Data

Enhances medical data reusability by using a common data model, without including personal information.

Centralized Data Management

Enables centralized data management.

Quality Control for Clinical Research Data Analysis

Serves as a quality control tool for data analysis in clinical research across various institutions.

Quality Control for Data Providers

Provides quality control for entities collecting information from hospitals.

Internal Data Organization

Assists pharmaceutical companies with internal data organization.

Data Quality Assurance for AI Model Generation

Ensures data quality for generating AI models in the insurance sector.

No-code Data Cleansing Software

Described as a no-code data cleaning software specializing in medical data.

Offline Operation

Can operate offline, suitable for sensitive medical data.

Data Transformation Traceability

Enables users to trace how data was transformed, aiding in data quality control.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
15
Interface languages
20
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseJapaneseChineseRussianDutchArabicKoreanHebrewSwedishTurkish

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇮🇳INR🇲🇽MXN🇸🇬SGD🇳🇿NZD🇭🇰HKD🇳🇴NOK🇰🇷KRW🇹🇷TRY🇷🇺RUB🇿🇦ZAR🇧🇷BRL

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