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.
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.
How would gathering preclinical data and improving research infrastructure facilitate clearer definitions of “population vulnerability” and “risk acceptability”?
AMA J Ethics. 2020;22(1):E43-49. doi:
10.1001/amajethics.2020.43.
A patient’s transition from “living” to “dying” is not socially marked in the same way death is marked, and this is both clinically and ethically relevant.
AMA J Ethics. 2020;22(12):E1062-1066. doi:
10.1001/amajethics.2020.1062.
Residency programs should include a system composed of night float teams, wide cross-coverage, and effective communication at the time of patient hand-off in order to maintain an 80-hour work week.