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Access to precise and reliable scientific evidence is one of the fundamental principles of Evidence-Based Medicine (EBM) in clinical decision-making processes. Medical librarians, by employing advanced search and information retrieval techniques, play a pivotal role in accessing such evidence. This observational study compared the search and evidence retrieval behaviors of two groups: Medical librarians and medical specialists familiar with EBM and systematic reviews. The study population consisted of 40 participants (20 medical librarians and 20 medical specialists), whose performance in retrieving the best available evidence from credible sources was evaluated using two distinct clinical scenarios. A researcher-developed checklist was created in accordance with the Guidelines for Evaluating Evidence-Based Search Strategies and was utilized to assess the search performance of participants. The findings revealed that medical librarians employed structured search strategies and were more successful in retrieving accurate evidence. They consistently utilized structured search strategies, field-specific search tools, and narrowing techniques in all cases. In contrast, medical specialists spent less time on searches and exhibited a greater tendency to use natural language terms in their search queries. medical specialists did not systematically employ controlled vocabulary or place keywords in specific fields, such as titles, keywords, or abstracts. In conclusion, librarians' expertise in accessing the best available evidence underscores their crucial role in supporting medical specialists in obtaining and implementing evidence, thereby improving the quality and reliability of evidence-based practices in healthcare settings.

Bibliometric analysis is a method for analyzing the existing literature of a specific research area. Because it provides information about current research trends, the analysis can highlight attributes of frequently cited articles and identify areas for future research. To our knowledge, no such investigation has been conducted for osteopathic medical education. To conduct a bibliometric analysis of the 100 top-cited articles in osteopathic medical education to identify characteristics of the articles and to explore the thematic structure and connections among common topics. In October 2020, the Web of Science (WOS) Core Collection was searched for osteopathic medical education articles authored by faculty associated with U.S. colleges of osteopathic medicine (COMs). Search results included articles from 1975 to the present, based on the available dates of the indexes. Only articles in English were included in the search. Articles were identified using a three-stage search strategy and group consensus. Once identified, the following bibliometric characteristics were collected: journal name, journal impact factor, year of publication, article title, medical education research topic, authors, number of citations, and the authors' COM affiliation. Articles were then hand searched in several non-indexed osteopathic-related journals, collecting the same data and using Google Scholar for the number of citations. The 100 top-cited articles were extracted and included in our analysis. Bibliometric metrics were calculated and summarized to assess performance and impact. Science mapping by topics was conducted to assess article contents. Specifically, network analysis and clustering were used to explore the structure and relationship of topics covered in the articles. Our WOS search identified 193,381 records. The highest 50,000 top-cited results were downloaded for screening, and an additional 89 records were identified from journal website searches. After initial screening and removal of duplicates, the title and abstract of 134 records were independently screened by each team member. Of those, 28 were excluded because they were not a U.S. study, authored by a non-COM author, or outside our study scope; six did not meet our exclusion criteria. The top-cited article was a systematic review that was cited 107 times. The journal with the most top-cited articles (28) was Academic Medicine, but BMC Medical Education had the highest number of citations per article (37.8). The Philadelphia College of Osteopathic Medicine and Ohio University Heritage College of Osteopathic Medicine tied for the highest number (15) of top-cited articles, but Lake Erie College of Osteopathic Medicine had the highest number of citations per article (39.8). Network analysis and clustering identified four thematic groupings: humanistic and whole-person care; clinical science and training; educational technology; and health-care systems. The topics within each cluster were cohesive, yet clusters also communicated with each other. Results of the current study provided valuable information about the most frequent osteopathic medical education topics published by authors affiliated with COMs and suggested that journal impact factor was not a direct contributor to number of citations per article. The cluster analysis also provided insight about interconnected topics in osteopathic medical education. Results from this bibliometric analysis may be useful to inform future research, encourage collaboration, and provide guidance for advancing osteopathic medical education research in the United States.

Recent results show that Health Sciences and Medical Librarians have increasingly been asked to support their institutions since the NIH data sharing guidance in the last decade. This study aims to assess health sciences librarians' data skills based on the conceptual framework developed by Federer and how hteya re able to solve any gaps in knowledge or training. In this cross-sectional survey, we are looking to determine if the health science libraries are adjusting to the demands of medical data preservation and sharing support and to determine whether health sciences librarians perceive there to be a need for increased assistance for these emerging responsibilties. This study will also examine what particular areas need support (i.e. data visualization, data preservation, or supporting an institutional respository).

This column explores gender trends over the past decade in medical and health sciences libraries through data reported from the Association of Academic Health Sciences Libraries (AAHSL) and Association of Research Libraries' (ARL) salary surveys of their member institutions. Trends are related to gender composition and percentage of men in libraries are examined. Specifically, the column probes whether the gender composition in academic medical libraries has varied, whether the percentage of men in reporting libraries is increasing, and whether men are overrepresented in administrative positions. Findings and their implications for the medical and health sciences librarianship profession are presented.

This study explores database selection for systematic reviews in medical informatics, addressing challenges researchers face in maximizing relevant article retrieval. Systematic reviews from top medical informatics journals in 2021 were analyzed, divided into randomized control trials and non-randomized control trials groups. Four databases were evaluated based on Recall, Precision, and Unique references. Findings revealed that for randomized control trials, the best combination was PubMed, Embase, and Web of Science, while for the non-restricted group, recommended combination included PubMed, Embase, Web of Science, and Scopus, highlighting effective literature search strategies.

Since the onset of the COVID-19 pandemic, interest in video research consultations has rapidly expanded. This study aimed to characterize the current state of academic health sciences librarians' practices and perspectives around this mode of consultation. We distributed a survey, which received 124 eligible responses. Our analysis found that video consultations were now generally in higher demand than in-person consultations and were viewed positively by respondents. Advantages mentioned included convenience & flexibility, technical capabilities, and health benefits. Disadvantages mentioned included technology challenges, issues with engagement, interruptions, and personal preference for in-person meetings.

The weeding project of the George F. Smith Library Reference Collection was undertaken due to anticipated space reconfiguration. With no place to relocate the reference books, the librarians eliminated the reference books from the area selected for redesign by discarding material or interfiling it with the circulating collection. Only a small portion of the "last copy monographs" collection was selected for retention and preservation. This case study presents an analysis of a one-time comprehensive project to free up space, dispose of obsolete material, and demonstrate what went behind the decisions to discard, interfile, or preserve the "last institutional copies" of monographs.

MedPix is a free, open-access, online database developed by the National Library of Medicine that houses a vast collection of over 59,000 medical images, 12,000 patient cases, and 9,000 clinical topics. Designed to support both teaching and self-directed learning, the platform serves a diverse audience including physicians, medical students, educators, and researchers. MedPix offers robust search capabilities as well as case-based learning tools that support Continuing Medical Education.

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Health sciences librarians play a critical role in supporting evidence synthesis, mostly systematic and scoping reviews. This paper reflects on the author's decade of evidence synthesis services (2015-2025). During this time, the author provided extensive support to the health sciences researchers, faculty, students, and staff at a large research university through consultation and collaboration on systematic and scoping reviews. The author discusses the roles undertaken, practice guidelines adhered to, information sources frequently searched, SR tools utilized, challenges encountered, and lessons learned throughout the experiences. The paper concludes with some recommendations for enhancing systematic review services in health sciences libraries.

Using semi-structured interviews, this study aimed to qualitatively explore the expectations and preferences of clinical users when engaging with library subject guides. Participants were generally unaware that subject guides existed but showed some preference toward guides that were quick and easy to use and provided independent learning materials, as well as resource access and guidance. Barriers to use in clinical practice included time, awareness, and issues of guide design and cognitive load. The results of this study will help inform the development of customized subject guides targeting this special population.

Job postings for medical and health sciences librarians provide valuable data for those seeking a better understanding of the evolving field of librarianship. Our data indicate a decrease in the number of postings from 2022 to 2024, a modest increase in the percentage of postings advertising remote/hybrid work, an increase in the average minimum posted salary, and a majority of postings focused on one or more public service components of library services. Utilizing this data provides a more complete picture of a profession in transition.

This paper uses the concept of resilience engineering as an organizing principle to discuss best practices that evolved within health science/medical libraries in the United States during COVID-19 crisis, focusing on the period March - August 2020. Protection of library staff, assistance to medical staff, reducing the circulation of misinformation and public health consumerism all required substantial changes to standard processes. These process changes had to arise in the context of both physical isolation and information overload. Some practices became widespread due to their utility, and these are the focus of this report.

Scientific studies conducted without adhering to ethical principles or without obtaining necessary approvals may lead to retractions, thereby undermining both scientific credibility and public trust. This study examines Retractions due to Ethical Violations or Lack of Approval (REVLA) in medical and allied disciplines, analyzing the trend over time, classifying the reasons for retractions, and explaining how they are communicated. REVLA published between 2003 and 2022 were identified using Web of Science and Scopus. Reasons for retraction were extracted from the Retraction Watch Database (RWD). A total of 969 articles meeting the criteria were identified. Original research and clinical studies accounted for over 95% of REVLA. The number of retractions increased substantially in the last decade. 37.67% of REVLA are either under a paywall or unavailable on the journal pages. Papers on clinical practice constitute 57.79% of REVLA, followed by biological sciences (20.02%) and cancer research (15.69%). The analysis shows that no publishers or journals are immune to REVLA. Strengthening institutional review boards (IRB), imparting education on research and publication ethics, and ensuring public access to retraction notices and articles are essential to uphold research integrity. Stricter editorial vigilance and peer review are crucial to prevent the publication of ethically compromised studies, thereby reducing the need for future retractions.

This pilot study investigated the use of Generative AI using ChatGPT to produce Boolean search strings to query PubMed. The goals were to determine if ChatGPT could be used in search string formation and if so, which approach was most effective. Research outputs from published systematic reviews were compared to outputs from AI generated search strings. While moderate overlap in publication retrieval between published and AI generated search strings was noted, the numbers were not sufficient to completely replicate published search strings and little difference was observed between prompted and unprompted GPT in using ChatGPT.

Research and Education Librarians at Rowland Medical Library at the University of Mississippi Medical Center designed an engaging 90-minute instruction session for middle school students participating in a summer enrichment program. Librarians adapted instruction strategies to effectively reach and connect with a younger, nontraditional audience. Through active learning activities, group discussion, and a scavenger hunt activity, students learned about academic health sciences libraries and strengthened information evaluation skills.

Anecdotal evidence suggests that hiring managers and hiring committees are seeing small numbers of applicants for vacancies at their health sciences libraries, making recruitment difficult. Several challenges are often cited for this, but little has been said about geographic considerations. Our objective was to analyze early career health sciences job postings in the United States for one year, and identify any geographic disparities relevant to recruitment. We explored medical and health science librarian job postings from MLA's website, ALA's joblist, medlib-l, and caucus listservs, which were compiled from January to December 2023. Early career postings were determined based on predefined criteria. Based on the medical/health science librarian job postings from 2023, there were 216 total postings including 105 early career positions (requiring one year or less of experience), reflecting approximately 49% of all job postings during this period. A plurality of early career postings (27%) were located in the Mid-Atlantic region while the fewest (5%) were from the Mountain West. Researchers analyzed the early career postings finding that instruction (67%) and reference (58%) duties were most prominent. Geography is important, as a new LIS graduate living in a region with fewer opportunities may be forced to move in order to obtain a medical library position, and optimal approaches to recruitment will vary depending on the employer's location. As this highlights just one aspect of the challenge, there are further research directions that may be taken from this analysis.

Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary disease (COPD), are heterogeneous conditions with a high multimorbidity burden. However, existing risk assessment instruments prioritise physiological measures while overlooking systemic comorbidities. We aim to develop and validate an electronic health record (EHR)-embedded artificial intelligence (AI) model-AiRES (AI in patients with RESpiratory disease)-to predict the 30-day, 90-day and 180-day risks of all-cause and index-disease hospitalisations. This model represents a first step towards a clinical decision support tool for personalised multimorbidity management in patients with CRD. Patients aged ≥18 years with a validated case definition of asthma and COPD will be identified from Singapore health administrative data (2012-2020). Candidate predictors will include age, sex, ethnicity, housing type, and comorbidities, measured across multiple care settings as visit frequency, grouped at quarterly intervals in Year 1 and annually for Years 2 and 3 over a 3-year lookback window. We will predict 30-day, 90-day, and 180-day risks of (1) all-cause and (2) asthma/COPD-specific hospital admissions using up to five randomly selected index dates per individual. Three machine learning algorithms-logistic regression (LR) with Lasso regularisation, eXtreme Gradient Boosting, and Categorical Boosting-will be trained using 10-fold cross-validation (CV) with an ensemble feature selection strategy. The optimal model, selected based on performance and feature importance, will be benchmarked against two reference models: a full LR and a Zero-Inflated Negative Binomial regression with hospitalisation history as the sole predictor. Discrimination and calibration will be assessed using internal-external cluster-based and temporal CV. Clinical utility will be evaluated using decision curve analysis. This study obtained ethics approval from the National University of Singapore (NUS-IRB-2024-849). Results will be published in international peer-reviewed journals.

Problem-based learning (PBL) is part of an integrated dental school curriculum using patient cases to learn about biomedical sciences. In PBL, students must find and evaluate information sources to support their patient cases. The library supports PBL students through course-related LibGuides, recommended textbooks, and librarian assistance. A feedback survey was conducted with first-year dental students to assess their perceptions of the usefulness of PBL library resources and the benefits of librarian support. Results indicate that students found PBL resources useful and few asked for librarian assistance. Analyzing this data led to changes in library instruction.