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.
Divya Yerramilli, MD, MBE, Alexandra Charrow, MD, MBE, and Arthur Caplan, PhD
Physicians should be aware of the powerful impact celebrities’ cancer narratives can have on patients’ experiences of their illnesses and treatment decisions. Partnering with celebrities is one strategy for delivering evidence-based health information and messaging to the public.
AMA J Ethics. 2018;20(11):E1075-1081. doi:
10.1001/amajethics.2018.1075.
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.
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.
Efrat Lelkes, MD, Angira Patel, MD, MPH, Anna Joong, MD, and Jeffrey G. Gossett, MD
Current policy requires separate informed consent for some Public Health Service increased-risk donors, and this can make shared decision making harder.
AMA J Ethics. 2020;22(5):E401-407. doi:
10.1001/amajethics.2020.401.
Shared decision making honors patient autonomy, particularly for preference-sensitive care decisions and even when patients have impaired decision-making capacity.
AMA J Ethics. 2020;22(5):E358-364. doi:
10.1001/amajethics.2020.358.