John Daniels, VP of HIMSS Analytics, says there is more to digitizing an organization than installing EMR functions, and discusses other adoption and maturity models including AI, continuity of care and infrastructure.
Jane Miller, COO of Royal Children's Hospital in Melbourne, Australia, says her organization, which reached the elite stage 7 EMRAM, treated EMR implementation as a clinical transformation project, not an IT project.
Cameron Ballantine, Chief Information Officer at Metro South Health, talks about the roadblocks and rewards of his organization's journey toward becoming Australia's first digitized health service.
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.
