Journal of general internal medicine
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Health services research can benefit from frontline clinician input across all stages of research, yet their key perspectives are often not meaningfully engaged. ⋯ Investing in frontline clinicians as research collaborators is beneficial to clinicians themselves, the health systems that employ them, and those for which they care. Yet, there are multiple barriers to meaningful engagement.
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The recent emergence of publically facing artificial intelligence (AI) chatbots has generated vigorous discussion in the lay public around the possibilities, liabilities, and uncertainties of the integration of such technology into everyday life. As primary care clinicians continue to struggle against ever-increasing loads of asynchronous, electronic work, the potential for AI to improve the quality and efficiency of this work looms large. ⋯ We discuss important concerns related to the future adoption of this technology including the transparency of the training data used in developing these models, the level of oversight and trustworthiness of the information generated, and possible impacts on equity, bias, and patient privacy. A stepwise and balanced approach to simultaneously understand the capabilities and address the concerns associated with these tools will be needed before these tools can improve patient care.
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Comment Letter Randomized Controlled Trial
Teaching Medical Students to Help Patients Manage Their Weight: Outcomes of an Eight-School Randomized Controlled Trial.
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Race and ethnicity, socioeconomic class, and geographic location are well-known social determinants of health in the US. Studies of population mortality often consider two, but not all three of these risk factors. ⋯ There are important independent contributions from race, class, and geography to risk of death in the US.