Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine.

Generative artificial intelligence (generative AI) is a new technology with potentially broad applications across important domains of healthcare, but serious questions remain about how to balance the promise of generative AI against unintended consequences from adoption of these tools. In this position statement, we provide recommendations on behalf of the Society of General Internal Medicine on how clinicians, technologists, and healthcare organizations can approach the use of these tools. We focus on three major domains of medical practice where clinicians and technology experts believe generative AI will have substantial immediate and long-term impacts: clinical decision-making, health systems optimization, and the patient-physician relationship.

Teaching LGBTQ+ Health, a Web-Based Faculty Development Course: Program Evaluation Study Using the RE-AIM Framework.

Background: Many health professions faculty members lack training on fundamental lesbian, gay, bisexual, transgender, and queer (LGBTQ+) health topics. Faculty development is needed to address knowledge gaps, improve teaching, and prepare students to competently care for the growing LGBTQ+ population.

Objective: We conducted a program evaluation of the massive open online course Teaching LGBTQ+ Health: A Faculty Development Course for Health Professions Educators from the Stanford School of Medicine.

Evaluating Medical Students' Views of the Complexity of Sexual Minority Patients and Implications for Care.

Sexual and gender minority (SGM) people experience many health care disparities. We aimed to determine if medical students viewed sexual minority patients (lesbian, gay, or bisexual [LGB] men/women) as more complex than heterosexual patients, even when presenting with the same symptoms, and whether this perceived complexity affected confidence caring for LGB patients. A fictional patient with an upper respiratory infection was presented with systematic variation of the patient's sexual orientation across six experimental conditions in an online, vignette-based experimental study.

Barriers and Solutions to Advancing Emergency Medicine Simulation-based Research: A Call to Action.

Simulation technology has successfully improved patient safety and care quality through training and assessment of individuals, teams, and health care systems. Emergency medicine (EM) continues to be a leader and pioneer of simulation, including administration of simulation-based fellowships and training programs. However, EM simulation-based research has been limited by low rates of publication and poor methodologic rigor.

Bicycle lanes: Are we running in circles or cycling in the right direction?

Background: The number of urban bicyclists has grown exponentially across the United States. Bike lanes were created to promote a safe environment for both motorist and cyclists, but few studies have specifically addressed the outcomes of these interventions. The aim of this study was to analyze the effect of bike lanes on bicycle usage and safety in a major urban city.

Management of Rhinitis Medicamentosa: A Systematic Review.

Objective: Rhinitis medicamentosa (RM) is a common condition resulting from overuse of topical nasal decongestants. Despite the prevalence in otolaryngologic practice, a clear treatment protocol has not been established. Our objective was to review the current published literature pertaining to the treatment of RM with the possibility of finding data that support one treatment over another.

Accuracy of shock index versus ABC score to predict need for massive transfusion in trauma patients.

Background: Various scoring systems have been developed to predict need for massive transfusion in traumatically injured patients. Assessments of Blood Consumption (ABC) score and Shock Index (SI) have been shown to be reliable predictors for Massive Transfusion Protocol (MTP) activation. However, no study has directly compared these two scoring systems to determine which is a better predictor for MTP activation.