In addition to Duke AI Health, CHAI’s growing list of partners includes Stanford University, UC San Francisco, Johns Hopkins University, UC Berkeley, Mayo Clinic, MITER Health, Change Healthcare, Microsoft Corporation, SAS and Google, among others. Observers from the U.S. Food and Drug Administration, which oversees health AI applications that meet certain criteria, as well as the National Institutes of Health and the Office of the National Coordinator for Health Information Technology, recently attended CHAI meetings.
As work by CHAI and its partners continues, additional efforts are underway at the federal level, and FDA publications Final instructions About clinical decision support software and a Draft bill of rights for AI Published by the White House Office of Science and Technology Policy.
We’re at a really exciting time in health AI. “There’s only so much opportunity for everyone — patients, clinicians and health systems — from these capabilities,” Pencina said. “But we need to make sure everyone shares in those benefits, and the key to doing that is making sure the tools we create make meaningful improvements to patient care,” he added.
(c) Duke University
Note: This story was originally published by: https://aihealth.duke.edu/building-better-guardrails-for-algorithmic-medicine/