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.
Medical students’ moral distress about end-of-life cases can be reduced through ethics consultation and ethics rounds, narrative reflection, and mentoring.
AMA J Ethics. 2017;19(6):585-594. doi:
10.1001/journalofethics.2017.19.6.stas1-1706.
Concrete protocols for supporting trainees include convening team meetings, tracking bias incidents, collecting data, and initiating protective changes in culture.
AMA J Ethics. 2019;21(6):E513-520. doi:
10.1001/amajethics.2019.513.
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.