1041 Changes in Information Seeking Patterns of Medical Students in the Social Media and Artificial Intelligence Age: Preliminary Findings

Abstract

Abstract Aim Non-traditional and novel online sources of medical information such as social media, large language models (LLMs) and video sharing platforms are providing medical students with opportunities for innovative learning. This cross-sectional study assesses current trends in use of these resources among medical students. Method A prospective, cross-sectional, observational, and descriptive study using an online questionnaire was utilised. Data collected included platform used, frequency of use, preferences, perceived benefits, and challenges associated with the use of these tools in the learning experiences of medical students. Results 273 medical students consented and completed the survey. 217 (79.1%) of students used social media or online video sharing platforms for educational purposes, mainly to supplement or replace course materials. The three reported benefits of using social media for educational purposes were: (I) accessing medical knowledge quickly and easily (87.7%), (II) accessing short duration compressed videos (70.8%), and (III) accessing infographics and visually appealing resources (67.5%). 143 (52.2%) of students have used Chat GPT or other LLMs. Of these, 54.7% have used LLMs for educational purposes (33% weekly and 44.3% monthly), and report using them mainly as resource when completing assignments, homework, or essays. 73.2% expressed concerns regarding unreliable medical information on social media, whereas only 54.8% expressed concerns with LLMs. Conclusions The survey results demonstrate that medical students are frequently seeking medical knowledge outside of core course materials. Medical educators must become aware of these changing trends. Guidance should be provided to medical students regarding the relative risks and benefits of these resources.

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