Microsoft, Health Catalyst collaborate on health analytics

Laura Pedulli | | Health Exec | Digital Transformation

 

Health Catalyst, a Utah-based data warehousing and analytics company, is partnering with Microsoft to deploy data warehouse and analytics solutions for the healthcare sector, according to Clinical Innovation + Technology.

The collaborators will develop Microsoft’s Analytics Platform System, which brings together SQL Server and Hadoop data into a pre-built appliance, integrated with Health Catalyst's Late-Binding Data Warehouse and Analytics Platform.

Read more below:

Microsoft, Health Catalyst to collaborate on health analytics solutions

Laura Pedulli

Related Content

To prepare tomorrow’s doctors for evidence-based medicine, instruct today’s med students in dHealth and AI
Despite AI, burnout continues to dog radiologists
5 ways GenAI can enhance graduate medical education
Nat’l Academy of Medicine sets ‘priorities for action’ as healthcare mulls next moves with AI
5 benefits of AI-enabled EHR systems
AI in the ICU (and elsewhere): Less stress, better conditions, alleviated shortages

Around the web

Radiology Business
ACR shares guidance to help members deal with confusing White House executive orders

A string of executive orders from the White House created serious concerns among radiologists and other healthcare providers throughout the United States. The American College of Radiology issued a statement to help guide its members through the chaos. 

Cardiovascular Business
Philips to sell its emergency care business to private equity firm

Bridgefield Capital, founded in 2015, has previously invested in such popular brands as Cirque Du Soleil, Del Monte and Quiksilver. This transaction is expected to be completed in the second half of 2025. 

AI in Healthcare
Nat’l Academy of Medicine sets ‘priorities for action’ as healthcare mulls next moves with AI

Given the precarious excitement of the moment—or is it exciting precarity?—policymakers and healthcare leaders must set directives guiding not only what to do with AI but also when to do it.