Affine Health Intelligence offers a low-code data platform that integrates healthcare data into a Common Data Model (CDM) based on the Observational Medical Outcomes Partnership (OMOP), enabling users to transform raw data into analysis-ready datasets quickly. This platform addresses the complexity of merging diverse healthcare data formats while ensuring compliance with legal and privacy requirements, ultimately reducing processing time and costs.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations face significant challenges in transforming raw data into analysis-ready datasets due to the complexity of merging diverse data formats and the need to comply with legal and privacy regulations. The process of building and automating data pipelines is often time-consuming and resource-intensive.
Solution
Affine Health Intelligence offers a low-code data platform that streamlines healthcare data integration into a Common Data Model (CDM) based on the Observational Medical Outcomes Partnership (OMOP). The platform enables users to efficiently transform raw data from various sources into standardized datasets, reducing processing time and costs. By automating data pipelines, Affine empowers users to access streamlined healthcare data for practical analytics and rapid innovation. The platform supports the creation of unified patient records and facilitates digital transformation initiatives.
Target Audience
Affine's platform is designed for healthcare vendors, startups, consulting firms, providers, and payers seeking to streamline data integration and analytics.
Features
- Low-code interface for building and automating data pipelines
- Integration of healthcare data into a Common Data Model (CDM) based on OMOP
- Support for various healthcare data formats, including HIPAA EDI files (HL7v ADT, 837, 834, 835, etc.)
- Scalable and cost-effective data processing
- Tools for containerizing, ingesting, cleaning, transforming, and standardizing data