Introducing Global Health, One Health and Planetary Health

Understanding the concepts of Global Health, One Health and Planetary Health is essential for health information professionals and medical librarians that wish to support research and education in these public health domains. This brief note aims to provide a short overview of the concepts

AI and generative AI in health and medical libraries: a scoping review of present use and emerging potential

This 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

Supporting systematic, scoping and other types of reviews: Workshops and services offered by the Medical Library at Charité

Medical Libraries have become central in evidence synthesis conduct – an evolving field. The Medical Library at Charité initiated Systematic/Scoping Reviews, an eight-part workshop series designed to provide comprehensive education and guidance on systematic and scoping review methods. Each session covers a specific step of the review process and offers participants who are conducting a review active engagement in these methodological steps using their own review question. This article provides a summary of each workshop session, outlining preparation requirements, workshop content, and challenges faced by both learners and the teaching team. The course has been well received by participants and has proven to be a valuable complement to the other health information literacy trainings offered by the Medical Library

Mobilising our skills and values for the data centric world of artificial intelligence

Because current conceptualisations of how to achieve Artificial Intelligence are data driven, so information professional skills applied to data become highly relevant. Translating our well established information skills to the context of data management and stewardship could be invaluable in such areas as data search, understanding data provenance, copyright issues, promoting data sharing and standards based description of data, data disposition or preservation, data ethics, and in promoting data literacy. As a profession we have a valuable and unique contribution to make through information skills applied to data, but we need to include data more in our vocabulary and thinking

Adoption and everyday use of artificial intelligence by NHS knowledge and library professionals in England: Part II: practical application

In part I of this article, published in this same issue of the Journal of EAHIL, we set the background for the NHS in England context looking at the drivers, strategy, and actions taken to develop the Knowledge and Library Services (KLS) workforce. In this piece we provide a snapshot of how services are testing and beginning to adopt artificial intelligence (AI) in their practice. It also reflects on the role of KLS in educating the workforce and provides the challenge to adopt AI and skilfully weave into all we do until it becomes business as usual

Brief Communication – concerning algorithmic indexing in MEDLINE

As of early 2022, indexing in the National Library of Medicine [NLM] MEDLINE database is performed by an algorithm, MTIA [Medical Text Indexer-Auto], with human curation as appropriate. Deployment of a machine learning classifier, MTIX [Medical Text Indexer-neXt generation] is planned for mid-2024. This brief communication outlines the processes of MTIA and raises concerns about the MeSH [Medical Subject Headings] applied by algorithm. Implications for searchers and educators are briefly discussed

Publications and new products

Publications and new product