In addition to Duke AI Health, CHAI’s growing list of partners includes Stanford University, UCSF, Johns Hopkins University, UC Berkeley, Mayo Clinic, MITER Health, Change Healthcare, Microsoft Corporation, SAS and Google wait. Observers from the U.S. Food and Drug Administration, which regulates AI applications for health that meet certain standards, as well as observers from the National Institutes of Health and the Office of the National Coordinator for Health Information Technology, also attended recent CHAI meetings.
As work by CHAI and its partners continues, there is additional work at the federal level, with the FDA releasing final guidance on clinical decision support software and the White House Office of Science and Technology blueprint for an AI bill of rights. technology policy.
“We are at a truly exciting time in AI for health. There is enormous potential for everyone (patients, clinicians, and health systems) to benefit from these capabilities,” Pencina noted. “However,” he added, “we need to ensure that everyone shares in these benefits, and key to doing so is ensuring that the tools we create lead to meaningful improvements in patient care.”
(C) Duke University
NOTE: This story was originally published at: https://aihealth.duke.edu/building-better-guardrails-for-algorithmic-medicine/
