When Seeing Isn't Believing: Navigating Visual Health Misinformation through Library Instruction.

Visual misinformation poses unique challenges to public health due to its potential for persuasiveness and rapid spread on social media. In this article, librarians at the University of Pittsburgh Health Sciences Library System identify four types of visual health misinformation: misleading graphs and charts, out of context visuals, image manipulation in scientific publications, and AI-generated images and videos. To educate our campus's health sciences audience and wider community on these topics, we have developed a range of instruction about visual health misinformation.

Impact of holistic review on diversity of interviewed and matriculating residents in graduate medical education: a systematic review protocol.

Introduction: Diversity in the physician workforce improves patient-centred outcomes. Patients are more likely to trust in and comply with care when seeing gender/racially concordant providers. A current emphasis on standardised metrics in academic achievement often serves as a barrier to the recruitment and retention of gender and racial minorities in medicine.