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.
Elizabeth Boskey, PhD, MPH, MSSW, Amir Taghinia, MD, and Oren Ganor, MD
Training should be implemented to respond to clinical staff members’ concerns about trans patients occupying sex-segregated spaces and to help mitigate anti-trans bias.
AMA J Ethics. 2018;20(11):E1067-1074. doi:
10.1001/amajethics.2018.1067.
When patients are unable to express their wishes and do not have surrogates or advance directives, which and whose values should inform decision making for them? We discuss ethical complexities of caring for unrepresented patients.
Shared decision making is practically difficult to implement in mental health practice but remains an ethical ideal for motivating therapeutic capacity.
AMA J Ethics. 2020;22(5):E446-451. doi:
10.1001/amajethics.2020.446.
Two pediatric cases highlight risks of prolonging anesthetic exposure for training purposes and prompt questions about influences of surgical training on outcomes.
AMA J Ethics. 2020;22(4):E267-275. doi:
10.1001/amajethics.2020.267.
Professor Katie Watson joins Ethics Talk to discuss what clinicians need to know about changes to the post-June 2022 legal, ethical, and clinical landscape of abortion care in the US.