With the Azure AI Health Bot infused with generative AI and healthcare safeguards, health organizations can build health data services, transform their medical professionals and patient experiences, discover new insights with the power of machine learning and AI, and manage protected health information (PHI) data
With Text Analytics for Health, a part of Azure Cognitive Services, healthcare organizations around the world can now extract meaningful insights from unstructured text in eight languages and process it in a way that enables clinical decision support like never before.
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services.
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.
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.
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).
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services.
Today, we take a giant step toward making the dream of interoperability in healthcare real. Microsoft is announcing the general availability of Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud.
From research to diagnosis to treatment, AI has the potential to improve outcomes for some treatments by 30 to 40 percent and reduce costs by up to 50 percent.
