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.
Identifying patients who are trafficked is key to caring well for these vulnerable adults and children. But labeling patients as trafficked can stigmatize patients if clinicians aren’t trained well in trauma-informed care.
AMA J Ethics. 2018;20(12):E1212-1216. doi:
10.1001/amajethics.2018.1212.
Hanni Stoklosa, MD, MPH, Marti MacGibbon, CADC-II, ACRPS, and Joseph Stoklosa, MD
Clinicians diagnosing and treating potentially trafficked patients with co-occurring addiction and mental illness should guard against expressing negative biases.
AMA J Ethics. 2017;19(1):23-24. doi:
10.1001/journalofethics.2017.19.1.ecas3-1701.
The DSM-5 Task Force’s handling of the ethical controversy over the bereavement exclusion demonstrates the need for more inclusive deliberative processes.
AMA J Ethics. 2017;19(2):192-198. doi:
10.1001/journalofethics.2017.19.2.pfor2-1702.
Case-based teaching, longitudinal application, and training in ethical deliberation can better prepare physicians to responsibly prescribe and manage opioids.
AMA J Ethics. 2019;21(8):E636-641. doi:
10.1001/amajethics.2019.636.
The American Medical Association named alcoholism and addiction as illnesses during the 20th century. Obesity, smoking, and motor vehicle safety were also named as public health issues and targeted in poster advertising campaigns.
AMA J Ethics. 2018;20(12):E1201-1211. doi:
10.1001/amajethics.2018.1201.
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.