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.
Thoughtful design can welcome patients’ families’ roles in promoting healing. At the same time, clinicians’ need for functionality and privacy is critical. How ought these considerations be balanced in designing the spaces where patient care takes place?
AMA J Ethics. 2016;18(1):73-76. doi:
10.1001/journalofethics.2017.18.1.sect1-1601.
This article examines conceptual limitations of extant accounts of palliative psychiatry, with a focus on obligations to distinguish among and clearly formulate goals of care.
AMA J Ethics. 2023;25(9):E710-717. doi:
10.1001/amajethics.2023.710.
Each time-saving, patient-safety-guarding feature in digital health care technology brings with it opportunities to offer unnecessary care, reap unnecessary payment, and add to the country's overall cost of health care.