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.
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.
Megan Chao Smith joins Ethics Talk to discuss their article, coauthored with Dr Shanda Demorest: “How Should Clinicians and Health Care Organizations Respond When Civic Planning Concentrates Waste Processing in Minoritized Communities?”
Lauren C. Nigro, MD, Michael J. Feldman, MD, Robin L. Foster, MD, and Andrea L. Pozez, MD
Suspected child abuse cases can be identified and repeat hospitalizations of such cases prevented using multidisciplinary teams to evaluate pediatric burns.
AMA J Ethics. 2018;20(6):552-559. doi:
10.1001/journalofethics.2018.20.6.org1-1806.
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.