Dr. Jones has a duty to determine how the test results were lost and why, disclose this information to his patient, Mrs. Taylor, and see that she is not held responsible for the costs of rerunning the test.
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 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?”
Treatment decisions in high-risk situations require a dynamic relationship between doctor and patient in which patient preferences and clinician recommendations contribute equally in shaping a final treatment decision.
Turfing is a colloquialism that refers to what clinicians do to patients whose needs do not fit neatly and tidily into typical clinical placement protocols.
AMA J Ethics. 2023;25(12):E885-891. doi:
10.1001/amajethics.2023.885.