Ayasdi’s application leverages the Fast Healthcare Interoperability Resources standard to pull in the required data from several sources across the hospital. It creates potential care process models for different procedures based on patterns identified in EMR, billing and other clinical data.
Ayasdi’s AI application was developed by computational mathematicians at Stanford (Calif.) University.
“We are delighted to engage with Ayasdi on this mission-critical task of creating clinical pathways for our patient population,” said Michael C. Sanders, MD, chief medical informatics officer at Flagler Hospital. “Our ability to rapidly construct clinical pathways based on our own data and measure adherence by our staff to those standards provides us with the opportunity to deliver better care at a lower cost to our patients.”
More articles on health IT:
Dr. Eric Topol teases new book on AI
9 more hospitals, clinics join Apple’s health records project
A new AI identifies objects at the speed of light — Here’s what that means for healthcare
