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.
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.
Decision making in health care demands that we balance multiple considerations, like quality of life, statistics, and how different options could affect others. Dr Brian Zikmund-Fisher shares his own experience as a patient and explains how decision science can help us navigate ethically complex health decisions.
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.
AI might improve patient-clinician relationships, but various underlying assumptions will need to be addressed to bring these potential benefits to fruition.
AMA J Ethics. 2020;22(5):E395-400. doi:
10.1001/amajethics.2020.395.