Identifying High-Needs Patients Helps Predict Future Health Spending

Identifying high-needs patients helps predict future health spending

A new way to measure comorbidity—when a patient suffers from multiple diseases or health conditions—can be used to accurately predict a patient's risk of hospitalization and future health care costs across a population, Cornell researchers report.

Predictive AI Analytics: Transforming Raw Data into Future Intelligence

The modern digital economy operates on an endless current of data. For years, organizations have collected immense volumes of information, utilizing traditional analytics to understand what happened in the past and why it occurred. However, this retrospective approach is no longer sufficient. The advent of artificial intelligence has catalysed a monumental shift in how data is utilized, transitioning the focus from historical reporting to future…