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.
The DSM-5 Task Force’s handling of the ethical controversy over the bereavement exclusion demonstrates the need for more inclusive deliberative processes.
AMA J Ethics. 2017;19(2):192-198. doi:
10.1001/journalofethics.2017.19.2.pfor2-1702.
Michael Anderson, PhD and Susan Leigh Anderson, PhD
Two concerns (unknowability of how output is derived from input and overreliance on clinical decision support systems) are main sources of ethical questions about AI in health care.
AMA J Ethics. 2019;21(2):E125-130. doi:
10.1001/amajethics.2019.125.
Wandy D. Hernandez-Gordon, CD(DONA), BDT(DONA), CLC, CCE(ACBE)
CHWs’ work underscores need for clinicians and organizations to respond to deeply entrenched, long-standing patterns of oppression in ways that draw upon lived experience.
AMA J Ethics. 2022;24(4):E333-339. doi:
10.1001/amajethics.2022.333.
Dr Crystal M. Hayes joins Ethics Talk to discuss her article, coauthored with Dr Anu Manchikanti Gomez: “Alignment of Abolition Medicine With Reproductive Justice.”
Russyan Mark Mabeza joins Ethics Talk to discuss his article, coauthored with Betial Asmerom, Dr Rupinder Legha, and Vanessa Nuñez: “An Abolitionist Approach to Antiracist Medical Education.”