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 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 Kaarkuzhali B. Krishnamurthy joins Ethics Talk to discuss her article: “Should Physicians Be Able to Refuse to Care for Patients Insured by Medicare?”
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.