Healthcare IT News January 24, 2019
With machine learning already impacting care delivery in ways large and small, regulation and clarification are needed to ensure it’s implemented safely, securely and in a way that drives innovation and value, a new Duke study shows.
A new report from the Duke-Margolis Center for Health Policy explores some of the policy changes that should be made to enable safer and more effective deployment of artificial intelligence in healthcare.
As AI and machine learning become de facto ingredients in many key clinical technologies, a better understanding of how they can best be leveraged for optimal analytics and decision support is the goal of the study, “Current State and Near-Term Priorities for AI-Enabled Diagnostic Support Software in Health Care.”
WHY IT...
Today's Sponsors
Today's Sponsor