Abstract：
BACKGROUND: 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.
OBJECTIVE: 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.
METHODS: Employing Cooper\'s integrative review method, this study involves a comprehensive analysis of existing literature on ChatGPT and its potential implementations within library contexts.
RESULTS: 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.
CONCLUSIONS: 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.
OBJECTIVE: 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.
METHODS: Employing Cooper\'s integrative review method, this study involves a comprehensive analysis of existing literature on ChatGPT and its potential implementations within library contexts.
RESULTS: 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.
CONCLUSIONS: 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.
摘要：
背景：2022年11月人工智能聊天机器人ChatGPT的出现引起了不同学科的广泛关注。尽管在各个部门广泛采用，探索其在图书馆中的应用，尤其是在医疗领域，仍然有限。
目的：医学图书馆中的ChatGPT等许多感兴趣的领域仍未被探索，本综述旨在综合目前对其已知的内容，以确定差距并促进进一步的研究。
方法：采用库珀的综合审查方法，这项研究涉及对ChatGPT的现有文献及其在库上下文中的潜在实现的全面分析。
结果：在各种数据库中进行的系统文献检索得出了166篇论文，30个因不相关而被排除在外。经过抽象审查和方法评估，共入选136篇。关键评估技能计划定性清单进一步缩小到29篇论文，形成本研究的基础。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疗信息，回答问题，提供建议和便利获取资源。在这种情况下，还强调了与ChatGPT相关的潜在挑战和道德考虑。
结论：定位为综述，我们的研究阐明了ChatGPT在医学图书馆中的应用,并讨论了相关注意事项.将ChatGPT集成到医学图书馆服务中，有望增强信息检索和用户体验，有利于图书馆用户和更广泛的医学界。
目的：医学图书馆中的ChatGPT等许多感兴趣的领域仍未被探索，本综述旨在综合目前对其已知的内容，以确定差距并促进进一步的研究。
方法：采用库珀的综合审查方法，这项研究涉及对ChatGPT的现有文献及其在库上下文中的潜在实现的全面分析。
结果：在各种数据库中进行的系统文献检索得出了166篇论文，30个因不相关而被排除在外。经过抽象审查和方法评估，共入选136篇。关键评估技能计划定性清单进一步缩小到29篇论文，形成本研究的基础。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疗信息，回答问题，提供建议和便利获取资源。在这种情况下，还强调了与ChatGPT相关的潜在挑战和道德考虑。
结论：定位为综述，我们的研究阐明了ChatGPT在医学图书馆中的应用,并讨论了相关注意事项.将ChatGPT集成到医学图书馆服务中，有望增强信息检索和用户体验，有利于图书馆用户和更广泛的医学界。
