What if you could see the people who need your services most? Now you can. Healthcare-specific predictive models allow you to easily identify consumers who are at risk for a medical event and predict your patients’ future health needs. Using this knowledge, you can design effective, data-driven strategies that address those concerns through timely intervention and preventive care.
Powered by some of the most robust data in the industry, Healthgrades models have been designed by an in-house team of data science experts and refined over years to offer the most accurate predictions of outcomes — and provide you with actionable intelligence that helps you improve your response to your market’s needs.
Healthcare-specific models are optimized to provide the information hospitals need, and are more accurate than cluster or neighborhood methods
Predictive performance quantifiably and continuously improves, using modern analytic methods, artificial intelligence, and deep learning networks to refine model performance
Identify populations most at risk, to determine propensity for certain treatments, based on medical history and demographic data
Models update as medical facts change and are constantly refreshed, allowing you to act on new information as it becomes available
Identify and understand patterns that drive cost.
Example: Reduce admissions for uncontrolled diabetes.
Create value by pinpointing targets.
Example: Promote joint replacements or bariatric surgery to those most in need.
Send preemptive communications.
Example: Invite consumers who are at risk for heart disease to a heart-health screening.
Reduce readmissions and complications.
Example: Send texts or emails after discharge to improve compliance with post-op or discharge instructions, and identify symptoms of infection or relapse as early as possible.
In today’s world, it’s all about finding truth in data. Healthgrades can help your health system acquire valuable information and use it to make meaningful connections with consumers. Find out how.