Journal of EAHIL
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AI and generative AI in health and medical libraries: a scoping review of present use and emerging potential
Full text linkThis scoping review explores the current use and potential of artificial intelligence (AI), particularly generative AI, in medical and health libraries. Through a comprehensive literature search, eleven studies were identified that illustrate how AI is being applied in areas such as event planning, content enhancement, literature searching, training promotion, and evidence synthesis. The findings suggest that while AI can enhance efficiency and user engagement, significant limitations – especially in high-stakes tasks like systematic searching – require continued human oversight. Overall, AI is best viewed as a supportive tool that, if implemented ethically and strategically, can extend the reach and quality of library services
Artificial Intelligence and Health Information Literacy
Full text linkThe proliferation of generative AI is changing health information behaviour. But the problems of accuracy and lack of transparency it has require users to develop some degree of AI literacy as an aspect of their health information literacy. There are many models of AI literacy suggesting key potential components such as knowledge of AI technologies; how to use them and evaluate outputs; how to protect one’s own safety; and ethical awareness, including of wider societal impacts. Conceiving these components as making up AI competency implies that it consists of the persistent attitudes and values of a critical information user, not the satisfied consumer that generative AI models try to create
Shaking it up: a research project to determine why our information skills training sessions are so popular
Full text linkThe Bodleian Health Care Libraries (BHCL) deliver ten different workshops as part of the wider University of Oxford (UK) Bodleian Libraries information skills training programme. Before the Bodleian Libraries launch an information literacy skills framework for the University in 2025, we set out to discover why our training sessions are popular with postgraduate students. We used two qualitative data collection methods: interviews, and focus groups. The data indicated a strong need for training in literature searching, evidence synthesis, critical appraisal, science communication (translating research for a non-specialist audience), and writing skills. Our training sessions fill some of those needs, and while the sessions are popular for that reason, we must promote them more widely
Exploring the impact of scientific research through citation analysis tools in policies and guidelines
Full text linkResearch impact has traditionally been measured through academic citations. In recent years, however, the focus has shifted towards assessing the broader effects of research on society, including its influence on policy-making and clinical guidelines. This brief article explores the role of citation analysis, extending impact measurement beyond academia. Using data from Scival Impact Module, we demonstrate how scientific publications from our institution have influenced policy documents and guidelines. We argue that these tools are essential in recognising the real-world value of research, providing meaningful indicators for evaluation and accountability.
Keywords
Research impact; Citation analysis; Policy documents; Guidelines; Altmetrics; Bibliometric
AI in literature research: a workshop perspective
Full text linkArtificial intelligence (AI) is increasingly used in academic research, including literature search and systematic reviews. This article shares insights from the “AI in Literature Research” workshop held at the 2025 VOGIN-IP-lezing in Amsterdam. The workshop, attended by 45 information professionals, included a poll, a theoretical session on AI tools, and a hands-on session exploring AI search tools (Perplexity, SciSpace, and Elicit). Participants were generally positive about AI developments but also raised concerns about transparency, reliability, and bias. The workshop enabled information professionals to explore tools, exchange perspectives and reflect on the role of AI in literature research and research support
AI will never replace us, or will it? Views of Finnish health librarians and information professionals on artificial intelligence in library and information services
Full text linkThe paper explores the impact of artificial intelligence (AI) on Finnish health librarians and information professionals (HLIP), focusing on their attitudes and the evolving role of library services. A survey conducted in 2024 and repeated in 2025 revealed that most HLIP view AI positively, though concerns about job replacement exist. AI is used for various tasks, including translations, planning searches, and creating teaching materials. The study highlights the need for continuous skill development and adaptation to technological advancements. Despite rapid technological changes, Finnish HLIP remain confident in the relevance of their profession