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.
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.
Physicians, committees, and guardians all make decisions for unrepresented patients in the US. This article considers a “tiered” approach as an alternative.
AMA J Ethics. 2019;21(7):E587-593. doi:
10.1001/amajethics.2019.587.
When patients are unable to express their wishes and do not have surrogates or advance directives, which and whose values should inform decision making for them? We discuss ethical complexities of caring for unrepresented patients.
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.