IOMED Medical Solutions provides a Data Space Platform that utilizes AI to structure and mediate health data for secondary use, ensuring compliance with regulatory standards. This technology enables healthcare organizations to achieve a comprehensive overview of patient data, enhancing data accessibility and analytical efficiency while maintaining high quality and reliability.
Funding
$10.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PVXVFounders
Product
Problem
Healthcare organizations struggle to efficiently utilize patient data for secondary purposes due to data silos, unstructured formats, and the complexities of regulatory compliance. Extracting meaningful insights from disparate data sources requires significant manual effort and specialized expertise.
Solution
IOMED Medical Solutions offers a Data Space Platform that leverages AI to structure, normalize, and mediate health data, enabling its secure and compliant use for research, analytics, and other secondary applications. The platform facilitates the creation of a comprehensive, 360-degree view of patient data by connecting data holders and data users within a federated network. By adopting the OMOP CDM standard, IOMED enhances data interoperability and allows users to leverage standardized OHDSI tools for efficient analysis. The platform's AI technology understands temporal nuances and complexities in clinical data, providing unique contextual depth for detailed and meaningful analyses.
Target Audience
IOMED's primary customers include healthcare organizations, contract research organizations, and life science companies seeking to leverage health data for research, analytics, and improved patient outcomes.
Features
- AI-powered data structuring and normalization for efficient data processing
- Federated data network connecting hospitals with structured and normalized data
- Compliance with regulatory standards for secure data handling
- Adoption of the OMOP CDM standard for enhanced data interoperability
- Integration with OHDSI tools for advanced analytical capabilities
- Physician and statistical validation to ensure data quality and reliability
- Understanding of temporal nuances and negation in clinical data for contextual depth