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ChatGPT in medical libraries, possibilities and future directions: An integrative review 医学图书馆中的 ChatGPT、可能性和未来方向:综述。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-10 DOI: 10.1111/hir.12518
Brady D. Lund PhD, Daud Khan PhD, Mayank Yuvaraj PhD

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.

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.

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.

Conclusion

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.

背景: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。尽管在各行各业得到了广泛应用,但对其在图书馆,尤其是在医学领域应用的探索仍然有限:本综述旨在综合目前已知的相关信息,找出差距并促进进一步的研究:方法:本研究采用库珀的综合综述法,对有关 ChatGPT 的现有文献及其在图书馆环境中的潜在应用进行了全面分析:在各种数据库中进行了系统的文献检索,共检索到 166 篇论文,其中 30 篇因不相关而被排除。经过摘要审查和方法评估后,选出了 136 篇文章。批判性评价技能计划定性检查表进一步将范围缩小到 29 篇论文,为本研究奠定了基础。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、回答询问、提供建议和促进资源获取。此外,还强调了在此背景下与 ChatGPT 相关的潜在挑战和伦理考虑因素:作为一篇综述,我们的研究阐明了 ChatGPT 在医学图书馆中的应用,并讨论了相关的注意事项。将 ChatGPT 整合到医学图书馆服务中有望增强信息检索和用户体验,使图书馆用户和更广泛的医学界受益。
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引用次数: 0
Development and validation of search filters to retrieve medication discontinuation articles in Medline and Embase 在Medline和Embase中检索药物停用文章的搜索过滤器的开发和验证。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-11-27 DOI: 10.1111/hir.12516
Thomas Morel MD, MSc, Jérôme Nguyen-Soenen MD, MSc, Wade Thompson PharmD, PhD, Jean-Pascal Fournier MD, PhD

Background

Medication discontinuation studies explore the outcomes of stopping a medication compared to continuing it. Comprehensively identifying medication discontinuation articles in bibliographic databases remains challenging due to variability in terminology.

Objectives

To develop and validate search filters to retrieve medication discontinuation articles in Medline and Embase.

Methods

We identified medication discontinuation articles in a convenience sample of systematic reviews. We used primary articles to create two reference sets for Medline and Embase, respectively. The reference sets were equally divided by randomization in development sets and validation sets. Terms relevant for discontinuation were identified by term frequency analysis in development sets and combined to develop two search filters that maximized relative recalls. The filters were validated against validation sets. Relative recalls were calculated with their 95% confidences intervals (95% CI).

Results

We included 316 articles for Medline and 407 articles for Embase, from 15 systematic reviews. The Medline optimized search filter combined 7 terms. The Embase optimized search filter combined 8 terms. The relative recalls were respectively 92% (95% CI: 87–96) and 91% (95% CI: 86–94).

Conclusions

We developed two search filters for retrieving medication discontinuation articles in Medline and Embase. Further research is needed to estimate precision and specificity of the filters.

背景:药物停药研究探讨停药与继续用药的结果。由于术语的变化,在书目数据库中全面识别药物停药文章仍然具有挑战性。目的:开发并验证在Medline和Embase中检索停药文章的搜索过滤器。方法:我们在系统评价的方便样本中确定药物停药文章。我们使用主要文章分别为Medline和Embase创建了两个参考集。参考集被随机分为开发集和验证集。通过开发集中的术语频率分析确定与终止相关的术语,并结合开发两个搜索过滤器,最大限度地提高相对召回率。根据验证集对过滤器进行了验证。相对召回用其95%置信区间(95% CI)计算。结果:我们从15篇系统综述中纳入Medline的316篇文章和Embase的407篇文章。Medline优化的搜索过滤器包含7个术语。Embase优化的搜索过滤器组合了8个术语。相对召回率分别为92% (95% CI: 87-96)和91% (95% CI: 86-94)。结论:我们在Medline和Embase中开发了两种用于检索停药文章的搜索过滤器。需要进一步的研究来估计滤波器的精度和特异性。
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引用次数: 0
COVID-19, health librarianship and the wider context COVID-19、卫生图书馆和更广泛的背景。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-11-23 DOI: 10.1111/hir.12513
Maria J. Grant FCLIP, PhD

In this second special collection of COVID-19-related manuscripts, our focus moves from health information within academia to health librarianship in the wider context. Although COVID-19 manuscripts may still occasionally appear in the Health Information and Libraries Journal, the World Health Organisation's declaration earlier this year of an end to the global health emergency marks an intentional editorial shift to adopting a broader perspective in publishing this type of work, a focus on public health information challenges and emergency preparedness, and a return to publishing a more familiar range of health library and information contexts and practice.

在第二批与covid -19相关的手稿特别收藏中,我们的重点从学术界的卫生信息转移到更广泛背景下的卫生图书馆工作。尽管《卫生信息与图书馆杂志》可能仍会偶尔刊登关于COVID-19的稿件,但世界卫生组织今年早些时候宣布全球卫生紧急情况结束,标志着编辑在发表此类作品时有意转向采用更广泛的视角,将重点放在公共卫生信息挑战和应急准备上,并回归到发表更熟悉的卫生图书馆和信息背景和实践。
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引用次数: 0
Evidence surveillance for a living clinical guideline: Case study of the Australian stroke guidelines. 活体临床指南的证据监测:澳大利亚中风指南的案例研究。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-11-09 DOI: 10.1111/hir.12515
Steve McDonald, Kelvin Hill, Heidi Z Li, Tari Turner

Background: Continual evidence surveillance is an integral feature of living guidelines. The Australian Stroke Guidelines include recommendations on 100 clinical topics and have been 'living' since 2018.

Objectives: To describe the approach for establishing and evaluating an evidence surveillance system for the living Australian Stroke Guidelines.

Methods: We developed a pragmatic surveillance system based on an analysis of the searches for the 2017 Stroke Guidelines and evaluated its reliability by assessing the potential impact on guideline recommendations. Search retrieval and screening workload are monitored monthly, together with the frequency of changes to the guideline recommendations.

Results: Evidence surveillance was guided by practical considerations of efficiency and sustainability. A single PubMed search covering all guideline topics, limited to systematic reviews and randomised trials, is run monthly. The search retrieves about 400 records a month of which a sixth are triaged to the guideline panels for further consideration. Evaluations with Epistemonikos and the Cochrane Stroke Trials Register demonstrated the robustness of adopting this more restrictive approach. Collaborating with the guideline team in designing, implementing and evaluating the surveillance is essential for optimising the approach.

Conclusion: Monthly evidence surveillance for a large living guideline is feasible and sustainable when applying a pragmatic approach.

背景:持续的证据监测是生活指南的一个组成部分。《澳大利亚卒中指南》包括关于100个临床主题的建议,自2018年以来一直是“活的”。目的:描述为《活的澳大利亚中风指南》建立和评估证据监测系统的方法。方法:我们基于对2017年卒中指南搜索的分析,开发了一个实用的监测系统,并评估了其通过评估对准则建议的潜在影响来评估可靠性。每月监测搜索检索和筛选工作量,以及指南建议的更改频率。结果:证据监督以效率和可持续性的实际考虑为指导。PubMed每月进行一次搜索,涵盖所有指南主题,仅限于系统综述和随机试验。搜索每月检索约400条记录,其中六分之一被分到指导小组进行进一步考虑。Epistemonikos和Cochrane中风试验登记的评估证明了采用这种更具限制性的方法的稳健性。与指导团队合作设计、实施和评估监督对于优化方法至关重要。结论:当采用务实的方法时,大型生活指南的月度证据监测是可行和可持续的。
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引用次数: 0
Key topics in social science research on COVID-19: An automated literature analysis 新冠肺炎社会科学研究的关键课题:自动化文献分析。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-10-30 DOI: 10.1111/hir.12508
Xian Cheng PhD, Ying Zhao PhD, Stephen Shaoyi Liao PhD

Background

The COVID-19 pandemic has triggered a significant increase in academic research in the realm of social sciences. As such, there is an increasing need for the scientific community to adopt effective and efficient methods to examine the potential role and contribution of social sciences in the fight against COVID-19.

Objectives

This study aims to identify the key topics and explore publishing trends in social science research pertaining to COVID-19 via automated literature analysis.

Methods

The automated literature analysis employed utilizes keyword analysis and topic modelling technique, specifically Latent Dirichlet Allocation, to highlight the most relevant research terms, overarching research themes and research trends within the realm of social science research on COVID-19.

Results

The focus of research and topics were derived from 9733 full-text academic papers. The bulk of social science research on COVID-19 centres on the following themes: ‘Clinical Treatment’, ‘Epidemic Crisis’, ‘Mental Influence’, ‘Impact on Students’, ‘Lockdown Influence’ and ‘Impact on Children’.

Conclusion

This study adds to our understanding of key topics in social science research on COVID-19. The automated literature analysis presented is particularly useful for librarians and information specialists keen to explore the role and contributions of social science topics in the context of pandemics.

背景:新冠肺炎大流行引发了社会科学领域学术研究的显著增加。因此,科学界越来越需要采取有效和高效的方法来研究社会科学在抗击COVID-19中的潜在作用和贡献。目的:本研究旨在通过自动化文献分析来确定与COVID-19]相关的社会科学研究的关键主题并探索其出版趋势。方法:采用自动化文献分析,利用关键词分析和主题建模技术,特别是潜在狄利克雷分配,突出新冠肺炎社会科学研究领域内最相关的研究术语、总体研究主题和研究趋势。结果:研究重点和主题来源于9733篇全文学术论文。关于新冠肺炎的大部分社会科学研究集中在以下主题上:“临床治疗”、“流行病危机”、“心理影响”、“对学生的影响”、《封锁影响》和“对儿童的影响”。结论:这项研究增加了我们对新冠肺炎社会科学研究关键主题的理解。所提供的自动化文献分析对于热衷于探索社会科学主题在流行病背景下的作用和贡献的图书馆员和信息专家来说尤其有用。
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引用次数: 1
Information technology and changing role models in German libraries: The example of OPEN-CAM 信息技术与德国图书馆不断变化的角色模式:以OPEN-CAM为例。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-10-25 DOI: 10.1111/hir.12514
Christa K. Raak MSc, Sebastian Unger MSc, David D. Martin MD, Thomas Ostermann PhD

Germany has a long tradition of health libraries. From their origin in monasteries, they became centres of knowledge and education. In modern times, this tradition has been continued by the Central Library of Medicine. In addition, as a specialty in Germany, special collection areas and special libraries that focus on one topic were established. Those services were transformed to specialized information services and portals as part of the digital transformation process. One of such projects is OPEN-CAM, which provides literature on integrative medicine in a specialist library and hosts the literature database CAMbase. Based on this example, we show how digital transformation has influenced the library landscape and its structures in Germany.

德国有着悠久的健康图书馆传统。从修道院开始,它们就成为了知识和教育的中心。在现代,中央医学图书馆一直延续着这一传统。此外,作为德国的一个专业,建立了专注于一个主题的专门收藏区和专门图书馆。作为数字化转型进程的一部分,这些服务已转变为专门的信息服务和门户网站。其中一个项目是OPEN-CAM,它在一个专业图书馆中提供关于综合医学的文献,并托管文献数据库CAMbase。基于这个例子,我们展示了数字化转型如何影响德国的图书馆景观及其结构。
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引用次数: 0
Quick links: Apprenticeship project 快速链接:学徒项目。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-10-19 DOI: 10.1111/hir.12510
Katy Greenfield BA (Hons)

This project was designed to support people to find information, resources, and evidence independently within Health Education England (now NHS England Workforce Training and Education) and allow the Knowledge Management team more time to focus on other services offered. This project aimed to pull together a number of resources in to one simple ‘Quick links’ page, with relevant information, resources and further training, providing people with opportunities to build on their own knowledge and skills.

该项目旨在支持人们在英格兰健康教育(现为英国国家医疗服务体系英格兰劳动力培训和教育)内独立寻找信息、资源和证据,并让知识管理团队有更多时间专注于提供的其他服务。该项目旨在将大量资源整合到一个简单的“快速链接”页面中,并提供相关信息、资源和进一步培训,为人们提供利用自己知识和技能的机会。
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引用次数: 0
An overview of the capabilities of ChatGPT for medical writing and its implications for academic integrity ChatGPT医学写作能力概述及其对学术诚信的影响。
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-10-08 DOI: 10.1111/hir.12509
Huihui Liu PhD, Mehreen Azam MLIS, Salman Bin Naeem PhD, Anthony Faiola PhD

The artificial intelligence (AI) tool ChatGPT, which is based on a large language model (LLM), is gaining popularity in academic institutions, notably in the medical field. This article provides a brief overview of the capabilities of ChatGPT for medical writing and its implications for academic integrity. It provides a list of AI generative tools, common use of AI generative tools for medical writing, and provides a list of AI generative text detection tools. It also provides recommendations for policymakers, information professionals, and medical faculty for the constructive use of AI generative tools and related technology. It also highlights the role of health sciences librarians and educators in protecting students from generating text through ChatGPT in their academic work.

基于大型语言模型(LLM)的人工智能(AI)工具ChatGPT在学术机构中越来越受欢迎,尤其是在医学领域。本文简要概述了ChatGPT在医学写作方面的能力及其对学术诚信的影响。它提供了一个人工智能生成工具列表,医学写作中人工智能生成的常用工具,并提供了人工智能生成文本检测工具列表。它还为决策者、信息专业人员和医学院提供了建设性使用人工智能生成工具和相关技术的建议。它还强调了健康科学图书馆员和教育工作者在保护学生在学术工作中不通过ChatGPT生成文本方面的作用。
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引用次数: 0
Issue Information Covers 发行信息封面
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-08-25 DOI: 10.1111/hir.12437
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引用次数: 0
College and university libraries and user responses to COVID-19 health information needs 高校图书馆和用户对COVID-19健康信息需求的响应
IF 3.8 4区 医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-08-25 DOI: 10.1111/hir.12501
Maria J. Grant FCLIP, PhD

In the first of two special collections of COVID-19-related manuscripts, this issue focuses on how colleges and universities libraries and their users responded to the need for health information during the pandemic.

作为两套与covid -19相关手稿特别收藏的第一期,本期重点关注高校图书馆及其用户如何应对大流行期间对卫生信息的需求。
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引用次数: 0
期刊
Health Information and Libraries Journal
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