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.
Using crowdsourced information in health professions education can help motivate critical appraisal, question asking, and evidence evaluation skill development, especially among “digital natives.”
AMA J Ethics. 2018;20(11):E1033-1040. doi:
10.1001/amajethics.2018.1033.
Denisse Rojas Marquez, MD, MPP and Hazel Lever, MD, MPH
“Very important persons” care contributes to multitiered, racially segregated health service delivery streams that influence clinicians’ conceptions of what patients deserve from them.
AMA J Ethics. 2023;25(1):E66-71. doi:
10.1001/amajethics.2023.66.
Dr Lisa Lehmann joins Ethics Talk to discuss “grateful patient programs,” pressures clinicians face to fundraise on behalf of health care organizations for which they work, and whether “VIP” care really is better for patients.
Kimberly A. Singletary, PhD and Marshall H. Chin, MD, MPH
The Roadmap to Advance Health Equity offers specific, actionable antiracist payment reform strategies to help ensure that everyone can receive good health services and optimize their health.
AMA J Ethics. 2023;25(1):E55-65. doi:
10.1001/amajethics.2023.55.
Natural language processing can be used not only to extract quantifiable facts from individual medical records but also to study variation in a data set.
AMA J Ethics. 2017;19(3):281-288. doi:
10.1001/journalofethics.2017.19.3.stas1-1703.