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.
A look at current literature and work by a statewide initiative can motivate development of policies that help respond to unrepresented patients’ needs.
AMA J Ethics. 2019;21(7):E611-616. doi:
10.1001/amajethics.2019.611.
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.
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.
Hannah R. Sullivan and Scott J. Schweikart, JD, MBE
Legal questions regarding clinicians’ and technology manufacturers’ liability arise when algorithmic recommendations generated by the technology are hard to understand.
AMA J Ethics. 2019;21(2):E160-166. doi:
10.1001/amajethics.2019.160.