Advanced illness patients

Advanced illness patients represent only about 6.5% of the Medicare population yet they drive the majority of cost, utilization, and negative outcomes, specifically about 35% of adverse events, 50% of readmissions, and more than half of inpatient deaths. Predictive models help to identify these specific patients early on in their hospital journey. This enables proactive clinical […]
Readmissions and physician shortage

Readmissions have become a challenge for many health systems and difficult for patients and their families. AI and predictive analytics play an important role in identifying these patients in real-time before they leave the hospital, enabling proactive, personalized care that can keep them healthy at home and reduce future readmissions. Video by Nassib Chamoun https://vimeo.com/1056025533/2124643300%20 Full […]
Patients Have a Better Chance of Surviving at Academic Medical Centers

By Josh Gray: Vice President, Analytic Services at Health Data Analytics Institute Written with Diana Homsy: Senior Manager, Analytic Services at Health Data Analytics Institute Your odds of surviving a hospitalization at an academic medical center are better – but you’ll stay longer. Our team at Health Data Analytics Institute (HDAI) recently compared performance at […]