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.
Social and behavioral data contained in electronic health records are essential for studying health disparities. Can researchers avoid bias when collecting, analyzing, and using such data?
AMA J Ethics. 2018; 20(9):E873-880. doi:
10.1001/amajethics.2018.873.
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 Matthew C. Bobel joins Ethics Talk to discuss his article, coauthored with Dr Robert K. Cleary: “How Should Risk Be Communicated to Patients When Developing Resident Surgeon Robotic Skills?”
Preventing bad outcomes for teens and their offspring was the impetus behind confidential care for reproductive health. Requiring parental involvement created an obstacle to the provision of necessary care.
Michael Farias, MD, MS, MBA and Rahul H. Rathod, MD
A distinguishing feature of a SCAMP is its ability to capture knowledge-based diversions from a recommended pathway and to “learn” from such individualized patient management.