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 ...

According to Quantzig, predictive analytics in healthcare forms the basis of all developments within the healthcare sector More and more healthcare organizations are now turning to predictive ...

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 ...

Although generative AI has captured headlines in recent years, many companies have opted to invest more in predictive AI applications. These technologies are often more directly beneficial to business ...

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 ...

Social determinants of health are major contributors to health inequity and rising healthcare costs in vulnerable populations such as Medicaid beneficiaries. Healthcare innovators are building ...

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 ...

Before 2017, Zuckerberg San Francisco General Hospital – an urban, academic safety-net hospital within the San Francisco Health Network – struggled with some of the highest 30-day readmission rates in ...

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 ...