Integration with healthcare data solutions in Microsoft Fabric

Completed

The DICOM service provides cloud-scale storage for medical imaging data using the DICOMweb standard. The integration of the DICOM service with Azure Data Lake Storage means you gain full control of your imaging data and increased flexibility for accessing and working with that data through the Azure storage ecosystem and APIs.

By using Azure Data Lake Storage with the DICOM service, healthcare organizations are able to:

  • Directly access medical imaging data stored by the DICOM service using Azure storage APIs enabling efficient retrieval and manipulation of your valuable medical imaging assets and DICOMweb APIs, providing more flexibility to store, access, and work with the imaging data.

  • Open medical imaging data up to the entire ecosystem of tools for working with Azure storage, including AzCopy, Azure Storage Explorer, and the Data Movement library.

  • Unlock new analytics and AI/ML scenarios by using services that natively integrate with Azure Data Lake Storage, including Azure Synapse, Azure Databricks, Azure Machine Learning, and Microsoft Fabric enabling you to extract deeper insights and drive innovation in healthcare.

  • Grant controls to manage storage permissions, access controls, tiers, and rules.

Integration with Healthcare data solutions in Microsoft Fabric

The DICOM service with OneLake Storage is a solution that enables healthcare organizations to store, manage, and access their imaging data in the cloud. A key benefit of OneLake Storage is that it connects to Healthcare data solutions in Microsoft Fabric. Healthcare data solutions in Microsoft Fabric are an end-to-end, unified analytics platform that brings together all the data and analytics tools that healthcare organizations need to unlock the potential of their data and lay the foundation for AI scenarios. With these solutions, you can use a rich ecosystem of Azure services to perform advanced analytics and AI/ML with clinical data, such as:

  • Building and deploying machine learning models

  • Creating cohorts for clinical trials

  • Generating insights for patient care and outcomes.

For more information on healthcare data solutions and DICOM data ingestion from Azure Health Date Services, see the following sections:

Service architecture and APIs

The DICOM service exposes the DICOMweb APIs to store, query for, and retrieve DICOM data. The architecture enables you to specify an Azure Data Lake Storage account and container at the time the DICOM service is deployed. The storage container is used by the DICOM service to store DICOM files received by the DICOMweb APIs. The DICOM service retrieves data from the storage account to fulfill search and retrieve queries, allowing full DICOMweb interoperability with DICOM data.

With this architecture, the storage container remains in your control and is directly accessible using familiar Azure Data Lake Storage Gen2 REST APIs.

Screenshot of service architecture and DICOM APIs to store data in data lake.