Manage and explore health data
Data management in Microsoft Cloud for Healthcare enables healthcare customers to develop low-code applications leveraging Microsoft Power Platform. It provides the health standards-based connectivity needed to gain access to the underlying health data estate. It also offers enterprise analytics data solutions, built on Microsoft Fabric, that provide a robust platform for data management, analytics, and decision-making. These data solutions address the unique challenges faced by the healthcare industry, enabling you to optimize operations, integrate data from different sources, and use rich analytics.
Data management combines industry data models, industry standard data exchange, data mappings and connectors, and data analysis solutions. These combined services provide a common platform for both Microsoft and our customers and partners to deliver enterprise-grade applications and improve time to value.
Data integration toolkit
The Data integration toolkit is a model-driven app for managing data interoperability tooling within Microsoft Cloud for Healthcare in a single location. This application provides IT admins a single set of administrative tooling for the interoperability and integration components that enable health data exchange in the Power Platform ecosystem. These capabilities include:
- Guided setup for the Dataverse healthcare APIs and virtual health data tables
- Entity and attribute map management and validation
- External systems connectivity settings
- Access to detailed diagnostic logging
For more information, go to Overview of Data integration toolkit.
Healthcare data model for Dataverse
The healthcare data model for Dataverse is a FHIR (Fast Healthcare Interoperability Resources) aligned relational data model designed for Dataverse. The data model contains a subset of FHIR resources needed to power both Microsoft and partner healthcare business applications running on Dataverse. This common healthcare aligned data model provides the foundation for customers, partners, and independent software vendors (ISVs) building healthcare applications on Power Platform.
For more information on the data model, go to Data model overview.
Dataverse healthcare APIs
Dataverse healthcare APIs provide a built-in custom API that can accept bundles of FHIR resources for creating and updating records within Dataverse. It also includes writeback of record updates to FHIR endpoints. The solution ships with prebuilt, configurable entity and attribute maps that define the mapping and transformation rules from a FHIR bundle resource to tables in the healthcare data model for Dataverse.
These APIs are another tool for building healthcare applications on Dataverse that use existing customer investments and knowledge around FHIR data exchange. They reduce the implementation time and infrastructure associated with bi-directional synchronization of FHIR data with Dataverse. For more information, go to Overview of Dataverse healthcare APIs.
You can also choose to use an Azure Resource Manager (ARM) template called Healthcare data pipeline template. This template deploys a group of Azure Logic Apps that ingest FHIR data into Dataverse healthcare APIs, Azure Health Data Services, or both. This solution works as an enterprise-ready Logic App flow that serves as a relay between Azure Health Data Services and Dataverse healthcare APIs, and also manages retry logic and exception handling.
Virtual health data tables
Virtual health data tables enable building applications that work with or surface clinical data from the Azure Health Data Services FHIR API. They offer benefits such as avoiding data duplication, reducing cost of storage for users, and reducing latency and overhead associated with data synchronization.
Customers, partners, and ISVs can surface external data within the Dataverse application to build healthcare applications that extend past the usual Dataverse boundaries and reduce the complexity of dealing with FHIR data interchange.
For more information, go to Overview of virtual health data tables.
Healthcare database templates
Healthcare database templates in Azure Synapse provide a quick method of creating a database known as a lake database that can accelerate building analytics-infused applications. They act as blueprints that provide common elements derived from best practices, government regulations, and the complex data and analytic needs of a healthcare organization. You can use these information blueprints to plan, architect, and design data solutions for data governance, reporting, business intelligence, and advanced analytics.
For more information, go to Healthcare database templates.
Healthcare data solutions in Microsoft Fabric (preview)
Healthcare data solutions in Microsoft Fabric (preview) accelerate the time to value for customers by efficiently transforming healthcare data into a suitable format for analysis. With these solutions, healthcare organizations can seamlessly conduct exploratory analysis and run large-scale analytics, unlocking the full potential of their data assets. By providing intuitive tools such as data pipelines and notebooks, users are empowered to navigate and process complex datasets with ease, overcoming the inherent challenges associated with unstructured data formats.
For more information, go to Overview of healthcare data solutions in Microsoft Fabric (preview).
Healthcare data explorer in Microsoft Fabric (preview)
Healthcare data explorer (preview) in Microsoft Fabric streamlines the process of analyzing and querying healthcare data from different sources and formats. It prepares the data for clinicians to build patient cohorts that can be used for health trend studies, quality assessments, clinical trials, historical research, and AI development. As a healthcare professional, you can build queries, select subsets of data, and merge data sources in a low-code/no-code, generative AI Copilot experience.
For more information, go to Healthcare data explorer (preview) in Microsoft Fabric.
Azure Health Data Services
Azure Health Data Services unifies data coming from diverse streams such as clinical records, images, devices, and more. It standardizes this data using the FHIR framework, DICOM services, and the Azure IoT Connector for FHIR. They offer a managed set of APIs to facilitate rapid exchange of data and enable organizations to ingest and view protected health information (PHI) data.
For more information, go to Azure Health Data Services.
Reference architecture
Learn more about successful, robust cloud deployments in the Microsoft Cloud for Healthcare reference architecture center.
See also
What is Microsoft Cloud for Healthcare? Set up and configure Microsoft Cloud for Healthcare