When a child or family begins to stand out because of patterns in history or physical findings, physicians must determine whether to take a closer look at the situation.
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.
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?
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.
In the same way that we learn about normal variations in blood pressure, we need to learn about “normal” variations in sexual interests and practices. We want to avoid clueless questions or unintentionally inflammatory statements.
Victims of sexual violence who are minors should not be forced to submit to a rape kit exam against their wishes since it might retraumatize the patient.
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.
Volk v DeMeerleer may conflict with professional guidelines regarding physicians’ obligations to breach patient confidentiality to protect third parties.