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 ...
Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...
Leading-edge machine learning models predict risk of adverse events to help clinicians improve patient outcomes and quality of care Caring for complex post-acute patients and long-stay residents with ...
With sophisticated real-time and predictive data analytics systems, clinicians are empowered to plan more timely, targeted and effective medical interventions and ultimately improve patient outcomes ...
TAMPA, Fla.--(BUSINESS WIRE)--Smart Meter, the leader in cellular-enabled remote patient monitoring (RPM), today launched iAmbientHealth™, a revolutionary ambient sensor that transforms how healthcare ...
When an organization overlooks staffing and scheduling habits it has a negative impact on staff morale, turnover, and patient care – all of which effect an organization’s bottom line. No organization ...
PURCHASE, NY, June 24, 2024 (GLOBE NEWSWIRE) -- Teladoc Health (TDOC), the global leader in whole-person virtual care, released new data today from two studies, presented at the American Diabetes ...
To better enable early disease prediction in cattle, agtech startup MyAnIML™ announced today a hardware update designed to support the implementation of its AI-enabled predictive health platform in ...
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