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.
Despite challenges of decision making for unrepresented patients, few laws or policy statements offer solutions. This article offers 5 key things to do.
AMA J Ethics. 2019;21(7):E582-586. doi:
10.1001/amajethics.2019.582.
Regularly scheduled dialysis is not standard of care for most undocumented immigrants in the United States, so preventative care, and advocacy for it, is needed.
AMA J Ethics. 2019;21(1):E86-92. doi:
10.1001/amajethics.2019.86.
Annika Brakebill, A. Mark Fendrick, MD, and Jeffrey T. Kullgren, MD, MS, MPH
These key steps are ones health sector stakeholders should take to help patients and clinicians use pricing information to inform health decision making.
AMA J Ethics. 2022;24(11):E1034-1039. doi:
10.1001/amajethics.2022.1034.
Targeted dosing to treat pediatric inflammatory bowel disease is challenging because dosing guidelines are based on data gathered from adult subjects of clinical trials. Patients’ families and health care organizations also incur high costs and must try to balance potential benefits against risks of ongoing monitoring.
AMA J Ethics. 2018;20(9):E841-848. doi:
10.1001/amajethics.2018.841.