Online knowledge sharing provides pragmatic and timely strategies for health professionals in the UK to apply research evidence to their practice. Our study provides generalisable, practical insights in how to develop and implement a knowledge sharing platform.
While web analytical tools (e.g. Google Analytics) used by such websites can provide descriptive measures of users, there is a disconnection between this data and the current understanding of health information-seeking behaviour. In this work, we leverage a theoretical model to interpret the Google Analytics data. Drawn on the visualisation of user behaviours based on this model, our research shows that better website design can be informed, and the evaluation of health websites can be performed on the basis of different user profiles.
The purpose of this commentary is to provide useful guidance on conducting rigorous searches of the literature that inform the design and execution of research. Guidance for less formal literature reviews can be adapted from best practices utilized within the formalized field of evidence synthesis. Additionally, researchers can draw on guidance from PRESS (Peer Review of Electronic Search Strategies) to engage in self-evaluation of their search strategies. Finally, developing an awareness of common pitfalls when designing literature searches can provide researchers with confidence that their research is designed to fill clearly articulated gaps in knowledge.
To educate our campus’s health sciences audience and wider community on these topics, we have developed a range of instruction about visual health misinformation. We describe our strategies and provide suggestions for implementing visual misinformation programming for a variety of audiences.
This column will discuss how to navigate searchRxiv to find, reuse, and cite published search strategies, as well as the process of depositing search strategies.
In this article, Christine Urquhart discusses some different research designs, and different research methods that may help students and practitioners find useful answers to questions about professional practice beyond the standard survey. Researchers could consider research designs such as quasi-experimental techniques, controlled before-after studies, and interrupted time series. The basic principles of such methods are outlined and some examples cited. Other research techniques outlined include those that research subjects might find more interesting to do, such as conjoint analysis and vignettes.
The library includes 13 research topics, with assessment as the most prevalent. It also notes recognized experts, including van der Vleuten, ten Cate, and Norman. The key medical education research topics identified and included in the library align with what others have identified as trends in the literature. Selected topics, including workplace-based learning, equity, diversity, and inclusion, physician wellbeing and burnout, and social accountability, are emerging. Once transformed into an open educational resource, clinician-educators and medical education researchers can use and contribute to the functional library.
The literature analysis reveals diverse applications of ChatGPT in medical libraries, including aiding users in finding relevant medical information, answering queries, providing recommendations and facilitating access to resources. Potential challenges and ethical considerations associated with ChatGPT in this context are also highlighted.
Short, pithy, and practical article about the uses, and pitfalls, of AI. It includes some helpful suggestions about how to start using it, and some of the issues to look out for.
An assistant librarian was seconded for two days a week to support the Patient Experience Team. This item shows how she worked to update policies. The LKS is now being recommended across the Trust to support this work.
One for the Evidence wiki?
In summary, despite errors and miss rates with the current platform, systematic literature search using AI appears very promising, eliminating hours of human labor while improving search quality. As AI technology continuously evolves, efforts to refine and improve AI-based literature search platforms should be continued.
Results: The 100 systematic review articles contained 453 database searches. Only 22 (4.9%) database searches reported all six PRISMA-S items. Forty-seven (10.4%) database searches could be reproduced within 10% of the number of results from the original search; 6 searches differed by more than 1000% between the originally reported number of results and the reproduction. Only one systematic review article provided the necessary search details to be fully reproducible.
This blogpost looks at a Knowledge Specialist as a point of contact for three Research Units within this Trust. Any use or ideas for working with R&I, or promoting LKS services to them?
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.