AI and Real-World Data Can Advance Patient Care in Academic Health Systems

AI and real-world data can advance patient care in academic health systems

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego.

To really make AI useful, health systems should rethink how they use data, researchers say

A new perspective piece calls on health systems to stop hoarding data and start using it to improve care.

Using data and AI to create better health care systems

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In this approach, information from electronic health records, clinical trials and day-to-day hospital operations is analyzed in real-time to uncover insights that continuously improve patient care.

Using Data and AI to Create Better Health Care Systems

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego.