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.
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.
The pace at which neurotechnological developments are being translated into clinical applications calls for a preparatory neuroethical model that can plot the benefits, burdens, and risks of neurosurgery as a step toward minimizing risks and maximizing benefits.