利用人工智能工具简化图书馆活动规划:来自Lane医学图书馆的案例研究。

IF 5.1 4区 医学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of the Medical Library Association Pub Date : 2025-01-14 DOI:10.5195/jmla.2025.2087
Boglarka Huddleston, Colleen Cuddy
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引用次数: 0

摘要

由于资源和人员有限,卫生科学和医院图书馆在规划和组织活动时经常面临挑战。在斯坦福大学医学院的莱恩图书馆,图书管理员求助于人工智能(AI)工具来解决这个问题,并成功地管理了各种活动,从小型研讨会到更大、更复杂的会议。本文介绍了一个案例研究,介绍了如何有效地将生成式人工智能工具集成到活动规划过程中,提高效率并使员工能够专注于更高级别的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Leveraging AI tools for streamlined library event planning: a case study from Lane Medical Library.

Health sciences and hospital libraries often face challenges in planning and organizing events due to limited resources and staff. At Stanford School of Medicine's Lane Library, librarians turned to artificial intelligence (AI) tools to address this issue and successfully manage various events, from small workshops to larger, more complex conferences. This article presents a case study on how to effectively integrate generative AI tools into the event planning process, improving efficiency and freeing staff to focus on higher-level tasks.

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来源期刊
Journal of the Medical Library Association
Journal of the Medical Library Association INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.10
自引率
10.00%
发文量
39
审稿时长
26 weeks
期刊介绍: The Journal of the Medical Library Association (JMLA) is an international, peer-reviewed journal published quarterly that aims to advance the practice and research knowledgebase of health sciences librarianship. The most current impact factor for the JMLA (from the 2007 edition of Journal Citation Reports) is 1.392.
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