Overview of Healthcare data foundations in healthcare data solutions (preview)
[This article is prerelease documentation and is subject to change.]
The Healthcare data foundations capability enhances Fast Healthcare Interoperability Resources (FHIR) data processing within the data lake environment and efficiently structures data for analytics and AI/machine learning modeling. These data pipelines flatten or transform the ingested FHIR JSON data into a tabular structure. The data is then stored in the delta parquet format, optimizing it for analytical tooling and storage efficiency.
After transformation, you can use traditional SQL tools to query the tabular data. You can enable exploratory analysis on various aspects of healthcare data, such as clinical, financial (claims and extended of benefits), and administrative data modules. Utilizing these pipelines for healthcare data streamlines the transformation process, ultimately enhancing analytical capabilities for informed decision-making in healthcare scenarios.
The capability also enables the following functionalities:
Data exploration and visualization: With SQL endpoints, you can use T-SQL to query the tabular data, facilitating both ad-hoc and exploratory analysis. You can also use Power BI to visualize the data stored within OneLake. You can create dynamic dashboards, insightful reports, and visually appealing charts and graphs. This comprehensive suite of functionalities empowers users to explore and present data in a meaningful and actionable manner. It drives informed decision-making and enhances overall data-driven insights.
Data mining and machine learning: You can use tabular data to apply advanced data mining and machine learning techniques, enabling the discovery of valuable patterns, trends, associations, and predictive insights in your data. These powerful analytical methods help you can gain a deeper understanding of your data and maximize its value.
Note
You need the Healthcare data foundations capability to run other healthcare data solutions (preview) capabilities. Make sure that you set up this capability first before you try to deploy the other capabilities.
To learn how to deploy, configure, and use Healthcare data foundations, see:
What isn't supported
- Deleting FHIR resources.
- Ingesting data from non-Microsoft FHIR services, such as Google Cloud Healthcare API or AWS HealthLake's managed FHIR API offerings.
- Integrating with other natural language processing services, other than Azure AI Language's Text Analytics for health.