Nicole Martinez-Martin, JD, PhD, Laura B. Dunn, MD, and Laura Weiss Roberts, MD, MA
Calibrating a machine learning model with data from a local setting is key to predicting psychosis outcomes. Clinicians also need to understand an algorithm’s limitations and disclose clinically and ethically relevant information to patients.
AMA J Ethics. 2018;20(9):E804-811. doi:
10.1001/amajethics.2018.804.
This narrative information graphic contextualizes the lack of current maternal morbidity and mortality data in the United States since the Dobbs v Jackson Women’s Health Organization decision in 2022.
AMA J Ethics. 2024;26(1):E92-93. doi:
10.1001/amajethics.2024.92.
Dr Catherine V. Caldicott joins Ethics Talk to discuss why turfing, despite being such a common, troublesome ethical issue, receives such little attention in the literature, how clinicians can ensure appropriate and safe transfers of care, and what health professions students and trainees can do to confront turfing when they see it.
Dr Gillian R. Schmitz joins Ethics Talk to discuss her article, coauthored with Dr Robert W. Strauss: “What Should Students and Trainees Be Taught About Turfing and Where Patients Belong?”
Makenzie Doubek joins Ethics Talk to discuss her article, coauthored with Scott J. Schweikart: “Why Should Physicians Care About What Law Says About Turfing and Dumping Patients?”