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.
Cynthia E. Schairer, PhD, Caryn Kseniya Rubanovich, MS, and Cinnamon S. Bloss, PhD
Questions about data privacy need to be addressed when research institutions negotiate with companies developing mobile health applications. Commercial terms of use and data sharing notifications should be reviewed before use in human subject research settings.
AMA J Ethics. 2018;20(9):E864-872. doi:
10.1001/amajethics.2018.864.
Dr Whitney Riley Linsenmeyer joins Ethics Talk to discuss her article, coauthored with Dr Sarah Garwood: “Patient-Centered Approaches to Using BMI to Evaluate Gender-Affirming Surgery Eligibility.”
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.