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.
Pamela B. Teaster, PhD, MA, MS and Al O. Giwa, LLB, MD, MBA, MBE
Since ageism contributes to global mental health inequity among older people, responding to their needs should be a clinical, ethical, and policy priority.
AMA J Ethics. 2023;25(10):E765-770. doi:
10.1001/amajethics.2023.765.
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.
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.
Dr Steven Starks joins Ethics Talk to discuss the shortage of geriatric psychiatrists and how cross-specialty training can prepare clinicians of all specialties to care for geriatric patients.