Analytics

Health Catalyst announced a new surveillance module for its Patient Safety Monitor suite that aims to help hospitals protect patient safety by deploying predictive analytics to monitor, predict and prevent inpatient risk.

India Hook-Barnard, director of research strategy at the University of California San Francisco, gives a high-level look at how knowledge networks work and how healthcare can leverage them for better analytics and for advancing precision medicine.

The agency's new challenge is seeking ways to help hospital decision-makers access and make use of the information contained in the CHPL.

CDS vendors are working to incorporate AI and machine learning into their products to boost diagnostics, imaging, pathology and radiology.

Adrian Zai, director of research at Partners Healthcare, talks about the importance of leadership buy-in and innovation support for improving analytics and other processes at hospitals.

New clinical and operational use cases are emerging for natural language processing, from risk adjustment to population surveillance and beyond.

The artificial intelligence tool detects diabetic retinopathy in medical images, which can help prevent blindness in diabetes patients.

Michael Dulin, director for the Academy of Population Health at the University of North Carolina, says the time is now to integrate patient data to develop a comprehensive view of factors that influence outcomes.

Michael Johnson, data scientist with St. Charles Health System, says providers may be missing opportunities to build an analytics capability that outperforms outsourced help. But that doesn't mean it's easy.

A baker's dozen technology companies are grabbing a spot as top-of-mind among hospital decision-makers, new research finds.