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.
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.
Victoire Fokom Defo, MD and Joël Fokom Domgue, MD, MPH
HPV tests are alternatives to Pap smear screening that enable women to self-collect specimens and might be the best cervical cancer prevention strategy for many.
AMA J Ethics. 2020;22(2):E116-125. doi:
10.1001/amajethics.2020.116.
Considering chronic opioid use when planning elective surgery would likely enhance team communication, decrease stigma, and facilitate care transitioning and long-term planning.
AMA J Ethics. 2020;22(8):E664-667. doi:
10.1001/amajethics.2020.664.
How society and medicine discussed and responded to child abuse changed dramatically in 1962. Since that time, the problem’s fuller scope has been revealed.
AMA J Ethics. 2023;25(2):E148-152. doi:
10.1001/amajethics.2023.148.
Emily L. Evans, PhD, MPH and Danielle Whicher, PhD, MHS
Clinical decision support systems leverage data generated in the course of standard clinical care to improve clinical practice. They need to ensure privacy and quality of patients’ data, but must also allow queries of electronic health records.
AMA J Ethics. 2018;20(9):E857-863. doi:
10.1001/amajethics.2018.857.
Social and behavioral data contained in electronic health records are essential for studying health disparities. Can researchers avoid bias when collecting, analyzing, and using such data?
AMA J Ethics. 2018;20(9):E873-880. doi:
10.1001/amajethics.2018.873.