This document builds on previous NHS Digital guidance on digital inclusion for health and social care.
Use it to design and implement inclusive digital approaches and technologies, which are complementary to non-digital services and support.
This paper explores the potential of language models such as ChatGPT to transform library cataloging. Through experiments with ChatGPT, the author demonstrates its ability to generate accurate MARC records using RDA and other standards such as the Dublin Core Metadata Element Set. These results demonstrate the potential of ChatGPT as a tool for streamlining the record creation process and improving efficiency in library settings. The use of AI-generated records, however, also raises important questions related to intellectual property rights and bias. The paper reviews recent studies on AI in libraries and concludes that further research and development of this innovative technology is necessary to ensure its responsible implementation in the field of library cataloging.
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.
Conclusion
Grammarly is unexpectedly most effective in detecting plagiarism in AI-generated articles compared to the other tools. This could be due to different softwares using diverse data sources. This highlights the potential for lower-cost plagiarism detection tools to be utilized by researchers.
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.
This article describes the collaborative approach between the Lead Nurse for Continual Professional Development and the Deputy Manager of the Library and Knowledge Services to develop and run the sessions.
Conclusion
Collaboration between clinical staff and library and knowledge teams can be useful in encouraging healthcare professionals’ engagement with the evidence base in order to consider changes to practice.
"Our approach to AI should first and foremost be positive, optimistic and professional, guided by our ethics and commitment to empowering our users. We can and must take a lead in defining a benign and beneficial future role for AI in the lives of the communities we serve."
"Do AI applications like ChatGPT help me? Definitely, but only if I ask it carefully structured questions so it can give helpful structure. answers." Short article shows how a public libraries assistant used GPT to create a children's guide to chess.
Dear Editor, The collection and analysis of data from open sources have undergone a revolution in the past decades. While it used to be challenging to obtain sufficient information on a particular subject in the past, nowadays, the real challenge lies in sorting through the overwhelming amount of available information.
Interesting perspective on AI fabrication & inaccuracies- The artificial intelligence (AI) system, Chat Generative Pre-trained Transformer (ChatGPT), is considered a promising, even revolutionary tool and its widespread use in health care education, research, and practice is predicted to be inevitable1. Like so many others I was keen to test the capabilities of ChatGPT as an aid to scientific writing. An opportunity arose with a study I was planning on an existing dataset (structural MRI brain changes associated with antipsychotic treatment).
This post summarises UHMBT's Health Literacy training, including the sessions offered, and how they adapted these to engage different groups. Can we learn anything from this, for example, are there any groups here that we could contact to offer the sessions? Do we consider any of the adaptations?
In our case study, all DE articles were identified after screening 7.7% of the sample, allowing for substantial time savings. ASReview likely has the potential to substantially reduce screening time in systematic reviews of health economic articles.
This article shows the economic benefits in terms of time savings of evidence searches done by librarians. It also mentions the benefits of synthesised searches. It gives average times of 6 hours for a comprehensive evidence search and 13 for a synthesised search. The second is more in line with what we've found locally than times given in the national lit search document, so that's reassuring.
This study seeks to understand the information needs of school nurses by conducting a needs assessment survey within the state of Illinois. A survey was disseminated through three statewide professional listservs to determine the types of care-related questions school nurses ask as part of their regular duties and which resources they use to answer those questions. School nurses’ information needs vary widely, and they rely on numerous sources to answer clinical questions. They are responsible for the well-being of hundreds to thousands of children. While they are comfortable searching for information, they are motivated to further develop research skills.
We focused the April 2023 column on the outdatedness and limitations of the widely used PICO question for development of a purpose statement. Now, we examine using PICO to search for the best evidence.
Medical libraries in Sweden are digitised to a large extent, technically advanced and developing rapidly. This paper investigates technological trends among Swedish medical libraries in the near and distant future and their application within different areas of library activities. The authors also present a roadmap to increase technological developments within medical libraries in Sweden. Current technological trends include digital collaboration tools, mobile technologies and visualisation. Artificial intelligence, big data and smart technologies are upcoming trends. Technologies are applied within all areas of library activities, but preconditions for academic and hospital libraries differ. To remain a relevant provider of information services, libraries must be able to monitor, test and adopt new technologies.
Based on our co-publication, ‘Guidance to best practices for systematic reviews’, this invited review focusses on well-documented deficiencies of systematic reviews and briefly explains some of the reasoning behind current standards. These deficiencies are categorized by six principles of good scholarship. The visual abstract highlights these and serves as a timeline for the major tasks in developing a review. We refer interested readers to our Guidance article for details and references to source documents. This article also has a graphic abstract.