Integrating electronic health care predictive analytics (e-HPA) into the clinical work flow, testing e-HPA in a patient population, and subsequently disseminating e-HPA across US health care ...

"Every touch point with the healthcare ... instances of gaps in care by identifying which members would benefit from regular communication with a provider. Predictive analytics also helped Humana ...

This article explains how predictive analytics can improve patient care significantly by offering actionable insights into the medical history of patients. There are many healthcare organizations ...

During a MedeAnalytics-sponsored August webinar hosted by Becker's Hospital Review, a panel of patient engagement experts discussed ways predictive analytics have improved patient care and health ...

And he believes predictive analytics is one of the most promising tools in health care, a way to warn clinicians when a patient is in peril. Draugelis leads the team that captures and organizes ...

Over the last five years, electronic health ... predictive analytics in clinical practice, we have identified steps to make predictive algorithms an integrated part of routine patient care.

Advocate Health Care's push to employ predictive modeling across its broad population base is an early test of the latest front in healthcare's march to using big data to improve healthcare ...

As the healthcare industry’s nursing shortage continues, predictive analytics can help health ... such issues could negatively impact patient care. However, despite these concerns, a quarter ...

Experts at the Council for Affordable Quality Healthcare (CAQH) Connect 2024 emphasized the transformative potential of artificial intelligence (AI) and predictive analytics in addressing health ...

By simulating various scenarios, predictive models help public health officials weigh the trade-offs between different ...