Microsoft announced Azure Healthcare APIs for Healthcare.


Microsoft announced Azure Healthcare APIs for Healthcare.

Microsoft Cloud is expanding its health data services to allow the exchange of multiple types of data in FHIR. This is why they are renaming their services to Azure Healthcare APIs.
Azure Healthcare APIs enable customers to ingest, manage, and persist data in the Microsoft Cloud for Healthcare. Users who deal with health data can use the Healthcare APIs to connect disparate PHI sets and connect machine learning tools, analytics, and AI tools end-to-end with them.

Real-time access to data

Azure Healthcare APIs enable customers to ingest, manage, and persist data in the Microsoft Cloud for Healthcare. Anyone working with health data can leverage the Healthcare APIs to bring disparate sets of PHI together and connect it end-to-end with tools for machine learning, analytics, and AI.

  • HL7 and C-CDA clinical records, data from medical devices, services such as HealthKit and Google Fit, or genomics databases can be ingested, transformed, and mapped to FHIR.
  • Unstructured data can be mapped to natural language processing algorithms like Text Analytics for Health to annotate data from clinical notes or text documents and structure it in FHIR so it can be viewed alongside structured clinical data.
  • Imaging data in DICOM formats can be ingested through an API gateway, and DICOMCast technology will extract relevant metadata from images and map it to patient records in FHIR.
  • With our Azure IoT Connector for FHIR, biometric data from devices can be ingested to provide care teams with information on health trends, allowing them to make timely interventions and provide remote care.

Using Azure Healthcare APIs, you can build real-world evidence pipelines such as support for coverage decisions, clinical trial pipelines, and observational studies.
With Azure Healthcare APIs, you can manage where your data goes and who can access it based on roles. Streamlined connectors allow you to quickly export data for deep learning and AI frameworks in Azure Data Science VMs or Azure Synapse. Tools for Anonymization help you de-identify blended data sets and create workspaces quickly for research if you are preparing data for secondary use.

Data Science workloads are simplified with automated methods to encrypt, substitute, crypto-hash, perturb, date-shift, and generalize, as well as templates for expert determination.
Through FHIR APIs or SMART on FHIR, it’s now easy to connect your data or AI outputs back to the systems your teams use on the front lines. In other words, you’re allowing your team to utilize your data to uncover new pathways, generate new ideas, and implement action that will transform the way you provide healthcare.

Do more with your health data in the cloud

Microsoft Cloud for Healthcare enables healthcare organizations to utilize their data more effectively. With Azure Healthcare APIs, you can transform the patient experience, create collaborative workspaces for research teams, or connect quickly to powerful analytics and visualization tools.

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