Lund Brady D, Khan Daud, Yuvaraj Mayank
Department of Information Science, University of North Texas, Denton, Texas, USA.
Maulana Azad Library, Aligarh Muslim University, Aligarh, India.
Health Info Libr J. 2024 Mar;41(1):4-15. doi: 10.1111/hir.12518. Epub 2024 Jan 10.
The emergence of the artificial intelligence chatbot ChatGPT in November 2022 has garnered substantial attention across diverse disciplines. Despite widespread adoption in various sectors, the exploration of its application in libraries, especially within the medical domain, remains limited.
AIMS/OBJECTIVES: Many areas of interest remain unexplored like ChatGPT in medical libraries and this review aims to synthesise what is currently known about it to identify gaps and stimulate further research.
Employing Cooper's integrative review method, this study involves a comprehensive analysis of existing literature on ChatGPT and its potential implementations within library contexts.
A systematic literature search across various databases yielded 166 papers, with 30 excluded for irrelevance. After abstract reviews and methodological assessments, 136 articles were selected. Critical Appraisal Skills Programme qualitative checklist further narrowed down to 29 papers, forming the basis for the present study. The literature analysis reveals diverse applications of ChatGPT in medical libraries, including aiding users in finding relevant medical information, answering queries, providing recommendations and facilitating access to resources. Potential challenges and ethical considerations associated with ChatGPT in this context are also highlighted.
Positioned as a review, our study elucidates the applications of ChatGPT in medical libraries and discusses relevant considerations. The integration of ChatGPT into medical library services holds promise for enhancing information retrieval and user experience, benefiting library users and the broader medical community.
2022年11月人工智能聊天机器人ChatGPT的出现引起了各学科的广泛关注。尽管它在各个领域得到了广泛应用，但其在图书馆尤其是医学领域的应用探索仍然有限。
医学图书馆中许多与ChatGPT相关的有趣领域仍未得到探索，本综述旨在综合目前已知的关于它的信息，以识别差距并激发进一步的研究。
本研究采用库珀的综合评价方法，对关于ChatGPT及其在图书馆环境中的潜在应用的现有文献进行全面分析。
在各个数据库中进行的系统文献检索共得到166篇论文，其中30篇因不相关而被排除。经过摘要评审和方法学评估，选取了136篇文章。批判性评估技能计划定性检查表进一步筛选后确定为29篇论文，构成了本研究的基础。文献分析揭示了ChatGPT在医学图书馆中的多种应用，包括帮助用户查找相关医学信息、回答问题、提供推荐以及促进资源获取。同时也强调了在此背景下与ChatGPT相关的潜在挑战和伦理考量。
作为一项综述，我们的研究阐明了ChatGPT在医学图书馆中的应用并讨论了相关考量。将ChatGPT整合到医学图书馆服务中有望提升信息检索和用户体验，使图书馆用户和更广泛的医学社区受益。
