An electronic, specialist-led, proactive diabetes intervention model reduced blood glucose levels and nosocomial infection incidence among surgical inpatients. Early diabetes management with an ...

Benefits leaders today are grappling with a dual challenge: providing thorough, high-quality care while keeping expenses in check. Enter predictive analytics – no longer just a buzzword, but a ...

Objectives: We assessed whether proactive care management for artificial intelligence (AI)–identified at-risk patients reduced preventable emergency department (ED) visits and hospital admissions (HAs ...

Organizations are integrating previously disparate services to better align their offerings with the shift from fee-for-service to risk-based care through visionary, member-centric solutions. For ...

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 ...

The U.S. healthcare system has long been defined by its reactivity. Care is delivered when symptoms surface, when patients seek care or when conditions escalate to a point of urgency. However, this ...