Artificial Intelligence
Cedars-Sinai Chief Data and AI Officer Mouneer Odeh offers some of the best ways the Chief AI Officer can work with the C-suite to get AI done right and gives some tips to health IT executives seeking the chief AI officer position.
Chief Data and AI Officer Mouneer Odeh says work on artificial intelligence is like a snowball going downhill – over the next five to 10 years it will build and build until the scale of the impact meets what healthcare requires.
Also: Three partners will combine advanced analytics, social risk assessments and actuarial validation to measure the impacts of SDOH interventions.
At Cedars-Sinai Medical Center, artificial intelligence extracts important information from data that can help inform care or drive operational efficiencies, says Kathy Bailey, the health system's principal data intelligence analyst.
Healthcare needs its workforce to be skilled in AI, says Bob Dichter, founder and career coach at Phoenix Rising Career Services, who encourages IT professionals to use artificial intelligence tools to help solve their organizations' challenges.
Join us for an enlightening webinar that explores the transformative power of AI and automation in healthcare. Discover how these cutting-edge technologies are not only streamlining operations but also making healthcare more personal and humane. Learn from our industry experts how AI is reducing burnout and improving the overall well-being of healthcare providers, leading to a more efficient care environment.
Ethical and equitable use of open data is a critical challenge for AI development in healthcare, requiring global collaboration to balance innovation with privacy and security, says Antoine Tesnière, professor at George Pompidou European Hospital.
With its Nursing Research and Innovation Council fostering the use of digital tools and the hospital training staff in employing artificial intelligence, it is improving tech adoption, says Debra Beauregard of Rady Children's Health.
Learn from industry experts about overcoming common AI challenges and driving innovation while maintaining compliance and fostering trust in your organization. This session explores the intersection of AI and healthcare, focusing on how effective AI governance and organizational change management can enhance healthcare IT systems and AI adoption.
A digital health literacy maturity model could aid in training and inspiring staff to adopt new tools and cybersecurity practices, says Tjasa Zajc, special advisor for HIMSS and moderator for the HIMSS25 Global Leaders Exchange panel.