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.
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.
Michele C. Gornick, PhD, MA and Brian J. Zikmund-Fisher, PhD, MA
How information is provided can change a choice. Decision science helps reveal affective forecasting errors and can generate choices congruent with patients’ and families’ values.
AMA J Ethics. 2019;21(10):E906-912. doi:
10.1001/amajethics.2019.906.
Timothy Cavanaugh, MD, Ruben Hopwood, MDiv, PhD, and Cei Lambert, MFA
The informed consent model for gender-affirming medical treatment emphasizes patient autonomy in choosing care without involving mental health professionals.
AMA J Ethics. 2016;18(11):1147-1155. doi:
10.1001/journalofethics.2016.18.11.sect1-1611.
The case of Johnson v Kokemoor illuminates the conflict between patients’ right to informed consent and clinicians’ need to learn through practice, a conflict that possibly could be resolved through greater transparency about clinicians’ experience or experience-dependent medical fees.