Healthcare IT News April 19, 2024
Mike Miliard

As health systems prioritize population health management, disparate factors such as patient engagement, social determinants of health and AI-enabled decision support all have roles to play, says Brian Dixon, research scientist at Regenstrief Institute.

The shift toward value-based reimbursement demands that hospitals and health systems take a more thoughtful approach to population health management. That requires the development of robust analytics strategies to track care quality and help patients manage their chronic conditions.

To achieve this, provider organizations should embrace an enterprise-wide approach that focuses on integrating key data into clinical workflows to identify high-risk patients – and, crucially, provide proactive interventions. But surfacing the right data at the right time for the right patients is easier said than done,...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: Analytics, Conferences / Podcast, Health System / Hospital, Healthcare System, Patient / Consumer, Population Health Mgmt, Provider, Technology, Trends
SingHealth to double down on pop health analytics, AI digital pathology
Zelis Acquires Rivet to Bring AI-Powered Analytics to 750+ Providers
Real-Time Data Analytics from Connected Devices
The Healthcare Balancing Act: How AI, RPM, and Predictive Analytics Cut Costs Without Sacrificing Care
Researchers demonstrate breakthroughs in cancer treatment quality through AI-enhanced data analytics

Share Article