Countering the prevailing thought that more medical testing and treatment is always better can be achieved by creating a forum for open discussion of costs and value to prevent patient harm from overuse.
AMA J Ethics. 2015;17(11):1079-1081. doi:
10.1001/journalofethics.2015.17.11.mnar1-1511.
Felix Gonzalez-Torres' and Gregg Bordowitz’s works express their experiences of living through a pandemic and subsequent social change and draw out key human rights themes.
AMA J Ethics. 2020;22(9):E821-829. doi:
10.1001/amajethics.2020.821.
This comic conveys the absurdity of overreliance on symptom measures and excessive testing in contemporary clinical decision making and health care practice.
AMA J Ethics. 2020;22(9):E816-817. doi:
10.1001/amajethics.2020.816.
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.
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.
Prevention efforts can marginalize patients by stigmatizing certain behaviors, so distinguishing individual professionals’ preferences about those behaviors is critical.
AMA J Ethics. 2019;21(6):E536-539. doi:
10.1001/amajethics.2019.536.
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.