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.
Farmworkers can become ill due to toxic exposure in their work environments. Recommending specific restrictions, educating patients on protection strategies, and partnering with agribusiness owners and allied health workers can drive development of alternatives to agricultural practices with health risks.
AMA J Ethics. 2018;20(10):E932-940. doi:
10.1001/amajethics.2018.932.
Gail Geller, ScD, MHS and Paul A. Watkins, MD, PhD
Six cohorts of first-year medical students have been shown to have negative attitudes about obesity that are consistent over time. Attitudes can be improved, however, by using popular media and an ethics framework to discuss personal experiences and beliefs about obesity.
AMA J Ethics. 2018;20(10):E948-959. doi:
10.1001/amajethics.2018.948.
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.
Trafficking-specific ICD-10-CM codes account for physical, social, and psychological dimensions of trafficked patients’ experiences. Data collected by clinicians can also motivate improvements in health policy, resource allocation, and prevention.
AMA J Ethics. 2018;20(12):E1143-1151. doi:
10.1001/amajethics.2018.1143.
With a focus on health justice, literature review suggests possible relationships between HPV type and geography and demonstrates that insurance status matters.
AMA J Ethics. 2019;21(3):E269-272. doi:
10.1001/amajethics.2019.269.
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.