Improve clinical and operational analytics in the data cloud

Healthcare organizations move analytics to the cloud for flexibility, agility, and scalability. Customers can utilize Microsoft Fabric or Azure Data Factory to batch ingest on-premises data to the cloud. The data can then persist with Fabric's OneLake, or in a raw Azure Data Lake.

Managing data isn't a new challenge, but it's increasingly more difficult. Since data is in different schemas, metadata, and relationship, analyzing it requires tremendous standardization efforts. The key to success lies in building systems of intelligence based on rich and standards-based data models. Healthcare data solutions in Microsoft Fabric (preview) provide you with data models, transformation activities, and analytical solutions that help create a multi-modal healthcare lakehouse. These solutions enable customers to connect, unify, and analyze their healthcare data. Clinical and business users, as well as machine learning models and artificial intelligence capabilities, can then utilize this data to derive actionable insights.

Download a printable PDF of this reference architecture diagram.