The data contained continued alarming trends in birthrates and some surprising regions that are gaining population.
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 ...
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 ...
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 ...
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 ...
Researchers demonstrate breakthroughs in cancer treatment quality through AI-enhanced data analytics
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 ...
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