Sam Hanna, Associate Dean of Graduate and Professional Studies and Program Director in Healthcare Management at American University, talks about the skills needed to use data and technology to create targeted therapies.
Margarita Gonzalez and Shane Owens, both with the Georgia Tech Research Institute, explain the need to reframe the security conversation from humans being the weakest link to supporting them with tools designed with users in mind.
Robin Frady, executive director, B&CI Information Services at Grady Health System, talks about her organization’s success with using AI and data to target at-risk patients with post-discharge EMS outreach.
In November we delve into the ways AI and machine learning have already taken root in healthcare and examine the promise and threats of AI.
Douglas Reding, MD, chief medical officer for Ascension Wisconsin and practicing oncologist, talks about Ascension's journey with its precision medicine task force, the need for AI support and the future of AI and machine learning.
Claus Duedal Pedersen, Chief Innovation Officer for the Centre for Innovative Medical Technology at the Odense University Hospital in Denmark, talks about shortening the road from academic research to the practical world of the healthcare system.
John Halamka, CIO of Beth Israel Deaconess Medical Center, and Paul Cerrato, Contributing Writer, Medscape, Medpage Today, discuss how AI and big data can help make personalized medicine a reality.
Suzanne Schwartz, Associate Director for Science and Strategic Partnerships at the FDA, shared insights and advice on medical device security, including cybersecurity attack response and best practices for CIOs and CTOs.
Douglas Gentile, Chief Medical Information Officer at the University of Vermont Health Network, discusses how lessons learned from past failures helped his organization figure out four critical components needed for successful data governance.
When taking on data governance projects, David Kho, Chief Medical Information and Chief Digital Officer of ChenMed, says it's critical to consider data quality, consistency, standards and lineage.
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