SAS, Microsoft to Build Deep Technology Integrations for Advanced Health Analytics


World wide analytics leader SAS and Microsoft are doing work with each other to build deep technological know-how integrations, producing advanced wellness analytics more available to health care and daily life science organizations. 

The collaboration boosts wellbeing treatment interoperability by enabling the use of Fast Healthcare Interoperability Means (FHIR®) expectations and by way of integration from Azure Wellness Knowledge Solutions to SAS Wellbeing on Azure.

Microsoft not long ago declared the availability of Azure Wellbeing Details Services, a platform as a assistance (PaaS) presenting designed to aid Shielded Wellbeing Data (PHI) in the cloud. By connecting to Azure Health and fitness Info Solutions, the embedded AI capabilities of SAS Health are much more productive and safe, growing the prospects of affected individual-centric innovation and trustworthy collaboration across the wellbeing landscape.

Future of wellbeing treatment knowledge trade is on FHIR

Global adoption of the FHIR industry details standard – which defines how health and fitness treatment information and facts can be exchanged concerning unique computer systems – is rising. Key digital health history (EHR) providers are moving promptly to guidance FHIR, and in the US, the Facilities for Medicare and Medicaid Services (CMS) has mandated its use.

The Azure Wellbeing Info Companies API product permits the transfer of FHIR information to Azure’s sturdy PaaS infrastructure. The harmonized FHIR datasets persisting on Azure Wellbeing Info Companies permit FHIR-centered requests of unique knowledge, speeding up queries to close to-serious time and shielding patient information.

Transformative analytical knowledge in the wellbeing cloud

Protected well being cloud environments like Azure Health Knowledge Services existing the option for genuine-time integration of affected person and statements info. The platform hosts both transactional and analytical workloads from the exact same info keep and enables cloud computing to renovate the growth and delivery of AI across the wellbeing care ecosystem.

A activity changer for the wellbeing landscape

The collaboration involving SAS and Microsoft Azure offers integrated technology that is safe, quickly and scalable for wellness treatment shipping and study stakeholders, together with:

  • Suppliers. SAS Wellbeing on FHIR gives fast access to analytic insights inside of EHRs, parsing out only the facts essential. Top quality care and client gratification maximize when companies can combine info throughout multiple estates and record varieties, which include affected person information and claims knowledge, into a one see.
  • Payers. Payers governed by CMS are currently mandated to transition to FHIR-dependent interaction standards and going through early wins. With FHIR, payers can securely query affected person documents to determine the healthcare requirement of a service or course of action and whether proper authorization was acquired, chopping time spent dramatically.
  • Academic wellbeing scientists. For scientific investigate, info sharing can be a frequent, time-consuming obstacle. FHIR-ready data sets can accelerate the generation of new health insights and increase the universe of data kinds for investigation, which include social determinants of well being, real-planet information, genetics, unit info from the internet of health-related factors and far more.
  • Lifetime sciences. As the availability and utilization of real-entire world information boosts, FHIR-centered interoperability permits pharma corporations to produce new intelligence on drug basic safety and efficacy on a broader knowledge established than beforehand out there.

Steve Kearney, PharmD, Worldwide Clinical Director at SAS
The absence of knowledge standardization in the sector has trapped health insights in purposeful silos. Suppliers and payers alike struggle to manually reconcile incompatible file formats, which gradual the transfer of information and negatively impacts quality treatment and client working experience.


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