Graphic pathographies can illustrate how overreliance on statistics can obscure the clinical relevance of patients’ experiences of anxiety when they’re presented with prognoses.
AMA J Ethics. 2018; 20(9):E897-901. doi:
10.1001/amajethics.2018.897.
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.
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.