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Dr. Anwar Jebran, medical director of population health informatics at Oak Street Health, says he's "only getting positive feedback" about ambient tools – but urges caution for the next phase of AI apps, prioritizing accuracy and safety.
Etay Maor, chief security strategist at Cato Networks, says artificial intelligence is useful to the good guys and bad guys alike: "How do we hack in AI systems? And how do we use AI systems to our advantage?"
From initial data governance to pilot projects, a lot goes into a successful health AI initiative, says Tjasa Zajc, special advisor for content at HIMSS, who previews the conference, which is scheduled for 10-12 June in Paris.
According to Julie Frey, vice president of product at Wolters Kluwer, ambient AI tools are helping to restore doctors' human connections with patients and reducing their after-hours documentation burden.
Before implementing AI tools, Matt Murren, CEO of True North ITG, says leaders must ensure that data flows freely between their EHR and practice management systems, and that they know how the tool will fit into existing procedures.
Training AI on narrow or biased datasets leads to real-world harms like misdiagnosis and unequal treatment, says Jessica Morley, Jessica Morley, postdoctoral research associate at Yale University's Digital Ethics Center.
When health systems upgrade their IT infrastructure, Dr. Guido Giunti, chief data officer at Dublin, Ireland's St James's Hospital, recommends they also train staff to use AI and other new technologies.
Sharing automated post-operative videos enables physicians to enhance patient engagement, but artificial intelligence insights generated may better surgical craft, say Transform Health Partners' Dr. Peter Billing and Medtronic's George Murgatroyd.
Dr. R. Ryan Sadeghian, pediatrician and The University of Toledo CMIO, says the university is building and piloting AI models to assist in clinical decision support and to accurately answer patients' and clinicians' questions.
Ran Balicer, chief innovation officer at Clalit Health Services, says Israel has maintained longitudinal electronic health records for patients since the 1990s, enabling clinicians to leverage AI for predictive, proactive care.
Unlearn CEO Steven Herne, says digital twins are used to forecast the longitudinal behavior of clinical trial participants, and, by predicting individuals’ likely response to a drug, can improve data quality and shorten trial timelines.
Jonathan French, HIMSS' senior director of public policy, discusses how the Trump administration has changed course from the Biden administration's AI roadmap and is seeking to develop a national AI framework.