Tag / AI in healthcare
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CPB’s 30th Annual Flanigan Lecture Success
The 30th Annual Flanigan Lecture at St. Joseph Health Center with nearly 150 in attendance in person and virtual, was a success. Dr. Anita Ho plumbed the risks and benefits of living in a world where we are watched by machines, in her lecture, ““Will AI Health Apps Make Us Healthier?” The 2024 Ethics Champion Award ceremony was at the beginning of the evening’s program. And the evening ended with a lively rendition of Happy Birthday” for Sister Rosemary Flanigan’s 98th birthday.
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The Space Between Excitement and Concern: Finding My Seat at the AI Table
In this blog, Lindsey Jarrett, PhD, Vice President of Ethical AI at the Center, explores views about the potential risks and benefits of Ethical AI in the context of her own position and the past five years of societal upheaval.
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Flanigan Lecture 2024
Monday, September 30, 2024
“Will AI Health Apps Make Us Healthier?” is the topic of the Center’s 30th Annual Rosemary Flanigan Lecture on September 30, 2024. The lecture, presented by Anita Ho, bioethicist, author, and clinical professor, will weigh the ethical pros and cons of AI in personal healthcare. Attend in-person in Kansas City or virtually on YouTube. -
AI in Kansas City Healthcare
This Kansas City Beacon story explains how, since 2021, in the absence of governmental regulation, the Center’s Ethical AI Initiative has taken a lead in mapping out AI standards, with hope for their eventual adoption by all Kansas City area providers. For now, hospitals aren’t required to tell patients when they’re using AI.
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Medical Ethics and AI in Healthcare: A Fireside Chat
At our 40th Anniversary Kickoff Luncheon in October, Lindsey Jarrett, PhD, and Ryan Pferdehirt, D. Bioethics, HEC-C, discussed the ethical use of AI in healthcare and the practical work of bioethicists in clinical settings.
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Four Recommendations for Ethical AI in Healthcare
Dr. Jarrett delivers recommendations on how an adapted, augmented system of healthcare technology can operate, as the industry prepares for more forceful regulation of the use of machine learning-based tools in healthcare practice.