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. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
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.
The findings can inform future research and practice on both individual and societal levels:
During times of uncertainty, mental health practitioners should actively educate their clients about the potential consequences of excessive health information-seeking. This can include behavioural interventions, such as controlled/limited exposure to news and social media at specific times of day and/or breaks from information overload.
Moreover, the study also supports the need to promote social media literacy skills to help young people and adults critically evaluate the information they encounter and discern credible sources vs. misinformation.
Practitioners can also encourage individuals to nurture their social support networks, as well as their self-care routines. Positive interactions can limit and counterbalance the negative impact of excessive information-seeking.
'As KNOWvember comes into view once more, here at Pennine Care we have been reflecting on our activities for 2022.' Looks at a range of knowledge management activities including offering alerts based on evidence searches, using the KM tool, and established Teams channels to facilitate communities of practice.
Josiah Richardson is a Senior Library Assistant at an NHS trust, whilst also doing the Level 3 Library, Information and Archive Services Assistant CILIP NVQ. In this case study, Josiah discusses how AI has simplified and sped up reporting and increased his knowledge of Excel.
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?