This blog post is co-authored by Trent Norris, Cloud and Data Partner Alliances, HLS.
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services. Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud, is a new way of working with unified data—providing care teams with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem.
Microsoft Cloud for Healthcare and the Azure Health Data Services product engineering team are committed to global patient health information interoperability. We believe interoperability is table stakes to unlock and derive a more comprehensive assessment of the available clinical evidence.
In order to accomplish this connected interoperable data flow, we have built Azure Health Data Services around HL7v2, CCDA, FHIR, DICOM, and other connected standards and common schemas. Aligning to these common standards and schemas enables Microsoft’s partner-led strategy and GTM engagement with organizations that include but aren’t limited to openEHR, Better, EY, and EPAM.
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