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ارزیابی سواد هوش مصنوعی در دانشگاه علوم پزشکی مشهد | ||
| پژوهش های کتابخانه های دیجیتالی و هوشمند | ||
| مقاله 2، دوره 12، شماره 1 (پیاپی 44)، فروردین 1404، صفحه 15-28 اصل مقاله (1.09 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/mrs.2025.74569.1630 | ||
| نویسنده | ||
| ثریا ضیایی* | ||
| دانشیار، گروه علم اطلاعات و دانش‌شناسی، دانشگاه پیام نور، تهران، ایران | ||
| چکیده | ||
| با توجه به پیشرفت‌های چشمگیر در حوزه هوش مصنوعی این فناوری به‌سرعت در حال تبدیل‌شدن به یکی از ابزارهای اصلی در بهبود کارایی، دقت در تشخیص و درمان و ارتقاء کیفیت خدمات سلامت است. از آنجایی که پزشکان و دستیاران پزشکی در فرآیندهای بالینی و درمانی نقش کلیدی دارند، برخورداری آن‌ها از سواد هوش مصنوعی برای استفاده مؤثر و ایمن از این فناوری‌ها ضروری است. بنابراین، این پژوهش با هدف بررسی میزان سواد هوش مصنوعی در میان دستیاران پزشکی دانشگاه علوم پزشکی مشهد انجام شد. این مطالعه به‌صورت توصیفی–همبستگی و با رویکرد کاربردی طراحی گردید. از روش نمونه‌گیری در دسترس استفاده شد و ۲۶۰ نفر از دستیاران رشته‌های مختلف پزشکی در این پژوهش مشارکت داشتند. داده‌ها با استفاده از پرسشنامه محقق‌ساخته شامل پنج مؤلفه سواد هوش مصنوعی:درک الگوریتم‌ها، تحلیل داده‌ها، استفاده از نرم‌افزارهای هوش مصنوعی، آگاهی از چالش‌ها و محدودیت‌ها، و آموزش مداوم) جمع‌آوری شد. روایی پرسشنامه به‌صورت صوری و محتوایی تأیید شد و پایایی آن با ضریب آلفای کرونباخ 0/93 محاسبه گردید. نتایج نشان داد که از شرکت‌کنندگان، ۷/۵۷ درصد مرد و ۳/۴۲ درصد زن بودند. میانگین نمرات در مؤلفه‌های مختلف به‌ترتیب عبارت بود از: درک الگوریتم‌ها (4/05)، تحلیل داده‌ها (3/98)، استفاده از نرم‌افزارها (3/95)، آگاهی از چالش‌ها (3/66) و آموزش مداوم (3/85). همچنین، دستیارانی که دوره‌های آموزشی هوش مصنوعی را گذرانده بودند، سطح سواد بالاتری در این حوزه داشتند. در نهایت گنجاندن دوره‌های آموزشی هدفمند در زمینه هوش مصنوعی در برنامه‌های آموزشی می‌تواند به بهبود آمادگی حرفه‌ای و کاربرد مؤثرتر این فناوری در نظام سلامت منجر شود. | ||
| کلیدواژه‌ها | ||
| سواد هوش مصنوعی؛ آموزش پزشکی؛ دستیاران پزشکی | ||
| عنوان مقاله [English] | ||
| Evaluation of Artificial Intelligence Literacy at Mashhad University of Medical Sciences | ||
| نویسندگان [English] | ||
| soraya ziaei | ||
| . AssociateProfessor, Department of Knowledge and Information Science, Payame Noor University, Tehran, Iran. | ||
| چکیده [English] | ||
| Artificial intelligence (AI) is becoming increasingly common in healthcare, with many experts pointing to its potential to improve diagnostics, streamline clinical tasks, and ultimately support better patient care. Physicians and residents are at the center of these changes, and their role in applying AI effectively is critical. However, simply having access to new tools isn’t enough. For clinicians today, understanding the basics of how AI functions - what it can do, and where its limits lie - is quickly becoming an essential skill rather than a bonus. With that in mind, this study looked at how familiar medical residents at Mashhad University of Medical Sciences are with AI-related concepts and tools. We surveyed 260 residents across a range of specialties, using a convenience sampling method. The questionnaire we developed focused on five key areas: knowledge of algorithms, ability to work with data, experience using AI in clinical settings, awareness of potential risks or limitations, and openness to continued learning in this area. To ensure the questionnaire was solid, we had it reviewed by experts, and internal reliability was confirmed with a Cronbach’s alpha of 0.93. Of those surveyed 57.7 were men and 42.3 were women. Average scores by category were: algorithm understanding (4.05), data skills (3.98), AI tool usage (3.95), awareness of limitations (3.66), and interest in ongoing learning (3.85). Notably, residents who had previously attended AI-related training generally performed better across the board. The findings suggest that while many residents have a decent baseline understanding of AI, there’s still a gap - especially when it comes to deeper knowledge or critical awareness of its limitations. As these technologies become more embedded in everyday clinical work, it makes sense to introduce more formal training during residency. Doing so could not only help future doctors feel more confident using AI, but also ensure these tools are applied in ways that genuinely benefit patients. | ||
| کلیدواژه‌ها [English] | ||
| Artificial Intelligence Literacy, Medical Education, Medical Residents | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 253 تعداد دریافت فایل اصل مقاله: 209 |
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