EagleForce Health applies its patented predictive modeling methodologies to both small and large data sources for predicting risk.
• Pre-disease conditions such as diabetes or hypertension
• Likelihood for readmissions to a hospital
• Patients most likely to experience an adverse event
Predicting costs associated with both disease prevention and disease management can drive appropriate resource allocation for intelligent engagement. Our goal is to provide insight to the appropriate members of the care team to better manage and prevent disease while eliminating avoidable costs such as unnecessary procedures and treatments.
EagleForce Health applies its proprietary PADRE system for patient eligibility and targeting. Our machine learning approach to universal eligibility has demonstrated with CMS to outperform all other systems. This includes insurance verification, claims processing, disease management, wellness and virtually any other patient support program.
Understanding the clinical, financial and behavioral barriers associated with human behavior are essential in optimizing patient engagement and clinical outcomes. EagleForce Health's ability to aggregate and integrate mass amounts of patient data for applying our predictive models allows us to deliver meaningful insights on how to engage patients at the individual level.
Predicting and measuring patient outcomes at both the individual and population level is critical for aligning interests across all healthcare stakeholders. Today's gaps in interoperability can be filled with EagleForce Health's patented methodologies and technologies for accurately predicting and measuring risk, cost, eligibility, engagement and outcomes across the entire patient healthcare journey.