Health IT Analytics May 8, 2024
Artificial intelligence is taking the healthcare industry by storm, and its applications in risk stratification have significant potential to improve outcomes.
In the era of value-based care, preventing or mitigating the impact of adverse patient outcomes before they happen could significantly improve care delivery and reduce costs. However, preventing outcomes requires healthcare stakeholders to possess a vast array of data points and the ability to analyze them effectively.
In recent years, the rise of electronic health records (EHRs) and risk scores has proven invaluable to this process, enabling health systems to begin stratifying their patient populations based on risk.
Risk stratification plays a key role in care coordination and chronic disease management, and the advent of predictive analytics has, in...
Today's Sponsors
Today's Sponsor