Today, the integration of predictive, patient-level data presents a defining opportunity to elevate population health management. By shifting focus toward individualized risk assessments, healthcare ...

Population health management is a multifaceted, many-layered endeavor that nevertheless has a common theme: the need for data and the ability to mine it for actionable information. A broad spectrum of ...

As hospitals, health systems and independent practice associations nationwide continue on their journeys to achieving value-based care delivery models, there has never been more population health data ...

Stratasan, a provider of software tools and specialized services, introduced a new intelligence platform for population health data, called Launch Pathway. Launch Pathway interprets and delivers ...

Quality data is critical to informing public health actions. | The time has come for CMS to implement performance measures—or quantitative metrics—for public health and clinical data exchange, writes ...

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how advanced artificial intelligence and population health analytics can identify ...

Without high-quality patient data, it's difficult and sometimes impossible for clinicians to safely and effectively treat individuals at the point of care. Similarly, a lack of quick access to quality ...

San Francisco-based health data analytics company Innovaccer announced a strategic partnership with Saudi Arabia-based cooperative insurance company Tawuniya to speed up the adoption of value-based ...

Reducing daily salt intake via manufacturing restrictions could significantly improve population-level blood pressure, ...

Baptist Health South Florida operates a network of 11 hospitals covering four counties. It also includes numerous ambulatory facilities, urgent care centers and emergency departments to provide ...