Tag: Microsoft Cloud for Healthcare

Aiming to enable the hospital-at-home approach to better support patients and help to relieve existing pressures on the NHS, Capita Healthcare Decisions leverages Microsoft Azure Health Data Services which enables healthcare professionals and patients to manage patient data in the cloud.

One of the biggest challenges in treating diabetic foot ulcers is the ability to monitor the patient’s progress when they are outside of the hospital. To help better manage data in the cloud and enable healthcare organizations to access patient data in a timely and secure manner, Microsoft released Azure Health Data Services, a PaaS offering that is built on the global open standards Fast Healthcare Interoperability Resources (FHIR ®) and Digital Imaging Communications in Medicine (DICOM).

The healthcare industry has come a long way from putting pen to paper on a pharmacy script or clinical SOAP note to now, being able to deliver primary care in the emerging hospital at home. Our approach to building Azure Health Data Services has been to support our partners by building and managing the underlying cloud technology so they can remain focused on the front-line industry scenarios.

High tech industry leaders like Microsoft, with strategic partners including global analytics software company SAS, are driving towards increased interoperability through standards such as Fast Healthcare Interoperability Resources (FHIR). Together, SAS and Microsoft Azure are building deep technology integrations that unlock value by making disparate data and advanced analytics more accessible to health and life science organizations.

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.