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.
Rachel Koch, MD, John G. Meara, MD, DMD, MBA, and Anji E. Wall, MD, PhD
Single-procedure interventions with minimal follow-up and clear quality-of-life gain are well suited for surgical mission trips. But not all risks and benefits are easily assessed.
AMA J Ethics. 2019;21(9):E729-734. doi:
10.1001/amajethics.2019.729.
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.
Shelley Wall, MBChB, Nikki Allorto, MBChB, Ross Weale, MBBS, Victor Kong, PhD, and Damian Clarke, PhD
Caring for severe burn injuries in low- and middle-income countries requires making decisions about resource allocation given particular contextual factors.
AMA J Ethics. 2018;20(6):575-580. doi:
10.1001/journalofethics.2018.20.6.msoc1-1806.
Medical education must acknowledge the problematic use of race as a biological or epidemiological risk factor in research and the controversy over race.
AMA J Ethics. 2017;19(6):518-527. doi:
10.1001/journalofethics.2017.19.6.peer1-1706.