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.
Carrie A. Bohnert, MPA, Aaron W. Calhoun, MD, and Olivia F. Mittel, MD, MS
Research and training are needed so that physicians are able to identify human trafficking victims and refer them to appropriate trauma-informed treatment.
AMA J Ethics. 2017;19(1):35-42. doi:
10.1001/journalofethics.2017.19.1.ecas4-1701.
Clarissa G. Barnes, Frederick L. Brancati, MD, MHS, and Tiffany L. Gary, PhD, MHS
To combat the rising incidence of type 2 diabetes, New York City requires laboratories with electronic reporting capacity to upload data on hemoglobin A1c measurements to a city department of health registry.
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.