Conclusion: The results of this study show heightened complexity in ChatGPT-generated SCI texts, surpassing optimal health communication readability. ChatGPT currently cannot substitute comprehensive medical consultations. Enhancing text quality could be attainable through dependence on credible sources, the establishment of a scientific board, and collaboration with expert teams. Addressing these concerns could improve text accessibility, empowering patients and facilitating informed decision-making in SCI.
We developed a highly accurate, simple, transportable, scalable method to identify publications in PubMed and Scopus authored by anesthesiology faculty. Manual checking and faculty feedback are required because not all names can be disambiguated, and some references are missed. This process can greatly reduce the burden of curating a list of faculty publications. The methodology applies to other academic departments that track faculty publications.
In November, we held our inaugural gathering, welcoming 20 colleagues from various NHS trusts. Included as a reminder / inspiration in case anyone from our team is going to this, or will consider going.
Inspired by BBC Radio 4’s Desert Island Discs the Libraries at Lancashire Teaching Hospitals ran an initiative called Castaway Books. It's worth looking at their experience - engagement started well, but tailed off later. Keep this as evidence in case we want to trial something similar?
Evaluation using two widely accepted tools shows that most websites related to COVID-19 are reliable and useful for physicians, researchers and the public.
People had longer attention span for video-based patient info than for text, spent longer (so less efficient) but felt better informed afterwards. I know we don't do patient info at the moment but I thought this was worth putting on one side (i.e. wiki) for future reference.
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?
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.
On 1 August, Dutch publishing giant Elsevier released a ChatGPT-like artificial-intelligence (AI) interface for some users of its Scopus database, and British firm Digital Science announced a closed trial of an AI large language model (LLM) assistant for its Dimensions database. Meanwhile, US firm Clarivate says it’s working on bringing LLMs to its Web of Science database.
most people don’t understand how it works or what it can do, so they are either not happy with its results or not using it in a way that can draw out its best capabilities.
The Core Clinical Journals (CCJ) list, produced by the U.S. National Library of Medicine (NLM), has been used by clinicians and librarians for half a century for two main purposes: narrowing a literature search to clinically useful journals and identifying high priority titles for library collections. After documentation of low usage of the existing CCJ, a review was undertaken to assess current validity, followed by an update to current clinical needs.
Trusted patient education materials are the backbone of an effective consumer health library. However, members of the LGBTQ+ community may not see themselves or their families reflected in many resources due to the gendered and non-inclusive language they are written in. This article outlines some suggestions for concrete actions that patient librarians can take to ensure that their materials are not excluding LGBTQ+ patients.
Describes how the Royal Society of Occupational Therapists has moved to digital-only. Could be useful to see what resources MPFT OTs can access through the library, as well as seeing how they reached that decision. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
For organizations implementing health literacy initiatives, using ‘change champions’ appears to be a promising strategy. This systematic review aimed to identify the empirical and conceptual research that exists about health literacy champions. Open access article.
We examined how feelings shape people’s organizing and deleting practices, focusing on four affective aspects: anxiety, self-efficacy, belonging, and loss of control. We hypothesized that these affective aspects would predict the extent to which people utilize organizing and deleting practices. Access via CILIP subscription
Main findings showcase that libraries as secure and trusted places can play a key role in developing and promoting health literacy to different groups; new job titles emerge for librarians (consumer health librarian, health information services librarians, health literacy librarian); whereas collaboration is a key element for developing and offering health literacy training programs to diverse group of users as well as the public. Access via CILIP.
Results
Participants spent the most time viewing the content of the posts, particularly post images. Findings revealed that users' viewing patterns differed when different health topics were presented, but not according to the type of information provider. However, the study showed that users check the Facebook page's banner to verify the health information provider's identity.
The authors reviewed individual applications and conducted trials before selecting three, namely Microsoft Forms, Excel, and Power BI, to work together effectively to input, analyze, and report library statistics. The final data tracking system integrates within Teams for easy sharing within the institution without additional funding.
AI did not write this article. A year from now, this claim may seem less believable. But rather than living in fear of AI and the potentially harrowing landscapes it suggests, librarians can stay ahead of the curve by implementing the tools discussed in this article. As with any other substantive technology, these tools are still in their infant stages, so there’s no need to hard commit to any one option. Libraries at the intersection of nascent AI technology and community service will certainly find something helpful to deploy in the quest to create a more efficient and innovative environment for patrons.
Although search engines sometimes highlight specific search results relevant to health, many resources remain underpromoted.5 AI assistants may have a greater responsibility to provide actionable information, given their single-response design. Partnerships between public health agencies and AI companies must be established to promote public health resources with demonstrated effectiveness. For instance, public health agencies could disseminate a database of recommended resources, especially since AI companies potentially lack subject matter expertise to make these recommendations, and these resources could be incorporated into fine-tuning responses to public health questions. New regulations, such as limiting liability for AI companies who implement these recommendations, since they may not be protected by 47 US Code § 230, could encourage adoption of government recommended resources by AI companies.
Comparison of LibKey and Quicklinks resolvers and direct linking tools., but also gives an insight into how they work. Concludes "the LibKey Discovery tool far outpaces Quicklinks when it comes to coverage" which is good to know!