Dr John Banja joins us to discuss the promises and perils of artificial intelligence in health care applications, including potential “megarisks” posed by AI tools themselves.
Patients can now easily view their health records, so clinicians must consider a reader’s interpretation of how they convey sensitive personal health information. What might this mean for ethics consultants?
AMA J Ethics. 2020;22(9):E784-791. doi:
10.1001/amajethics.2020.784.
Dr Mitesh Patel joins us on this episode of Ethics Talk to discuss nudges, how they can be used effectively in health care, and how to identify and avoid the potential ethical pitfalls of guiding behavior.
Camillo Lamanna, MMathPhil, MBBS and Lauren Byrne, MBBS
Perhaps machine learning systems trained on patients’ electronic health records and social media footprints could be used as decision aids when patients lack capacity or face overwhelming decisions.
AMA J Ethics. 2018;20(9):E902-910. doi:
10.1001/amajethics.2018.902.
Rebekah Davis Reed, PhD, JD and Erik L. Antonsen, PhD, MD
Though the National Aeronautics and Space Administration’s collection of disaggregated genetic data for occupational surveillance and research raises numerous privacy concerns, the Genetic Information Nondiscrimination Act of 2008 allows genetic information to be used to develop personal pharmaceuticals.
AMA J Ethics. 2018;20(9):E849-856. doi:
10.1001/amajethics.2018.849.
Nubia Chong, MD, Maria Mirabela Bodic, MD, Peter Steen, MD, Ludwing Salamanca, MD, PhD, and Stephanie LeMelle, MD, MS
Paternalistic language in patients’ health records is of specific ethical concern because it emphasizes clinicians’ power and patients’ vulnerabilities and can be demeaning and traumatizing.
AMA J Ethics. 2024;26(3):E225-231. doi:
10.1001/amajethics.2024.225