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.
Dr Rajani Katta joins Ethics Talk to discuss her article, coauthored with Dina H. Zamil, Emily K. Burns, and Dr Ariadna Perez-Sanchez: “Do You Know How to Assess Risks Posed by Over-the-Counter Vitamin A Supplements?”
Annika Brakebill, A. Mark Fendrick, MD, and Jeffrey T. Kullgren, MD, MS, MPH
These key steps are ones health sector stakeholders should take to help patients and clinicians use pricing information to inform health decision making.
AMA J Ethics. 2022;24(11):E1034-1039. doi:
10.1001/amajethics.2022.1034.
Jing Li, PhD, Robert Tyler Braun, PhD, Sophia Kakarala, and Holly G. Prigerson, PhD
For dying patients and their loved ones to make informed decisions, physicians must share adequate information about prognoses, prospective benefits and harms of specific interventions, and costs.
AMA J Ethics. 2022;24(11):E1040-1048. doi:
10.1001/amajethics.2022.1040.
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.