Journal of the Medical Library Association最新文献

{"title":"A generalist institutional data repository offering both open and restricted access to support NIH data sharing compliance.","authors":"Seonyoung Kim, Xing Jian, Marcy L Vana","doi":"10.5195/jmla.2026.2339","DOIUrl":"10.5195/jmla.2026.2339","url":null,"abstract":"<p><p>In response to the 2023 NIH Data Management and Sharing (DMS) Policy, Washington University School of Medicine in St. Louis launched Digital Commons Data@Becker, a generalist institutional data repository supporting both open and restricted access to research data. Managed by Bernard Becker Medical Library's DMS Team, the repository offers a fully mediated curation workflow that guides researchers through consultation, metadata capture, documentation, and quality control. Draft Digital Object Identifiers (DOIs) can be issued once access type is determined, with final DOI publication following curation and QC. Restricted datasets require Human Research Protection Office (HRPO) review and Data Transfer and Use Agreements (DTUAs), while open access datasets are freely downloadable. The repository leverages persistent identifiers such as Open Researcher and Contributor ID (ORCID iDs), Research Organization Registry (ROR) IDs, and DOIs, along with the DataCite metadata schema and custom metadata fields. Since its launch in 2023, Digital Commons Data@Becker has published 30 datasets spanning biomedical imaging, sequencing, quantitative assays, flow cytometry, and qualitative survey data. Across all datasets, there have been 4,409 views and 4,120 files downloaded, with restricted datasets generating 13 access requests, three of which were granted through DTUAs. Researchers emphasize the value of free institutional curation, flexible access models, and rapid DOI assignment. Digital Commons Data@Becker demonstrates how a generalist institutional data repository can balance accessibility and security to support NIH compliance, while advancing FAIR (Findable, Accessible, Interoperable, Reusable) data sharing and long-term stewardship.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"176-177"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blogs as data: using XQuery for content evaluation.","authors":"Eli Wachter, Elizabeth A Mullen","doi":"10.5195/jmla.2026.2338","DOIUrl":"10.5195/jmla.2026.2338","url":null,"abstract":"<p><p><i>Circulating Now</i>, the history of medicine blog for the National Library of Medicine (NLM), highlights blog posts written by community contributors. To evaluate the community represented within the blog, the project team explored how XQuery, a language for querying XML data, could be utilized in developing a dataset on institutions represented in the blog. The team used ChatGPT to develop the XQuery script and processed the queries through BaseX. The resulting data was transferred to Excel where additional data elements, such as geographic location and institutional type, were manually added. From this dataset, the team created visualizations in Tableau to show the over 400 unique institutions across the world represented. These visualizations supplemented an internal report for the <i>Circulating Now</i> Editorial Board, illustrating the current engagement reach of the blog and areas for future possible collaboration.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"169-170"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of health information prescription in thyroid cancer.","authors":"Marta Bianchini, Giulia Puliani, Virginia Scarinci, Gaetana Cognetti, Rosa Lauretta, Marilda Mormando, Francesca Servoli, Marialuisa Appetecchia","doi":"10.5195/jmla.2026.2191","DOIUrl":"10.5195/jmla.2026.2191","url":null,"abstract":"<p><strong>Objectives: </strong>Information prescriptions consist in making specific health care information available to patients on their disease from accredited sources, in order to help them understand and manage their disease, stimulating informed participation in health care. In the literature, a few studies have investigated the real effectiveness of prescribing information on the health management of oncological diseases. The scope of our pilot study was to investigate the effectiveness of information prescription, evaluating both patient satisfaction and perception, but also its possible impact on adherence to follow-up programs.</p><p><strong>Methods: </strong>Prospective pilot study enrolling patients with thyroid cancer. They received informative scientific material on thyroid cancer, dispensed by clinical librarians of the Institute's Library.</p><p><strong>Results: </strong>101 patients were enrolled (81% were women with a total mean age of 49.39 years). 26% of patients accessed the institute's library receiving patient information materials. Comparing data of people who completed the project with those who did not, no differences in sex, age and tumour characteristics were found. We found no statistical differences in terms of adherence to follow-up visits between the two groups of patients, but health information was able to effectively respond to the requests or needs of most patients. Participating patients have improved awareness and knowledge of their disease, patient-doctor relationships, adherence to treatment and communication with family members regarding their disease status, with a final positive impact on one's psychological well-being and global satisfaction obtained in 65% of people.</p><p><strong>Conclusions: </strong>This is the first Italian study carried out in the field of oncological endocrinology, demonstrating the positive role health information has on patients' psychological health and thyroid cancer knowledge.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"116-124"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the performance of narrow vs. broad search strategies when using machine learning-based software for title/abstract screening.","authors":"Michelle Swab","doi":"10.5195/jmla.2026.2286","DOIUrl":"10.5195/jmla.2026.2286","url":null,"abstract":"<p><strong>Objectives: </strong>To retrospectively evaluate workload implications and recall performance of narrower or broader database search strategies when using active learning screening tools.</p><p><strong>Method: </strong>A convenience sample of 10 completed reviews was used to assess search strategy performance in ASReview LAB, an open-source systematic review software tool. For each review, a single database search strategy was selected and then revised to either broaden (n = 9) or narrow (n = 1) the scope. Results from both the more sensitive (broader) and more precise (narrower) search strategies were labeled as relevant or irrelevant based on inclusion in the completed review. The labeled result sets were uploaded into the ASReview LAB simulation module, which mimics the process of human screening. Metrics such as number of records screened to reach recall of 95% or more were recorded. The effects of three different stopping rules on workload and recall were also explored.</p><p><strong>Results: </strong>For quantitative systematic reviews, the difference in absolute screening time required to reach 95% recall between broader or narrower search strategies was minimal (≤35 minutes). In contrast, for qualitative systematic reviews and other review types, broader search strategies led to increased workload. With respect to stopping rules, the time-based stopping heuristic resulted in substantial workload increases when broader search strategies were employed.</p><p><strong>Conclusion: </strong>Time savings achieved through the use of semi-automated screening tools may not always offset additional screening time required by broader, more sensitive search strategies. Librarians and information specialists should consider a variety of factors when determining the appropriate balance between search sensitivity and specificity in the context of semi-automated screening tools.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"105-115"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating automated or artificial intelligence search tools for evidence synthesis.","authors":"Robin Featherstone","doi":"10.5195/jmla.2026.2341","DOIUrl":"10.5195/jmla.2026.2341","url":null,"abstract":"<p><p>To advance information retrieval science for producing evidence syntheses at Canada's Drug Agency, the Research Information Services team developed a replicable process to evaluate automated or artificial intelligence (AI) search tools. The team inventoried 51 tools in the fall of 2023 and built a flexible evaluation instrument to inform adoption decisions and enable comparison between tools. Building on this foundational evaluation work, the team further conducted a comparative analysis on three top-ranked tools in the fall of 2024. The investigation confirmed that these automated or AI tools have inconsistent and variable performance for the range of information retrieval tasks performed by Information Specialists at Canada's Drug Agency. Implementation recommendations from this study informed a \"fit for purpose\" approach where Information Specialists leverage automated or AI search tools for specific tasks or project types.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"171-172"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147693038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementing a Spanish Wikipedia elective for medical students.","authors":"Juli McCarroll","doi":"10.5195/jmla.2026.2237","DOIUrl":"10.5195/jmla.2026.2237","url":null,"abstract":"<p><strong>Background: </strong>Individuals seeking health information often turn to the Internet for answers. Wikipedia is a dynamic, crowdsourced encyclopedia and one of the most accessed online sources for this content. However, the Spanish Wikipedia is not nearly as in-depth as the English version, creating a large disparity. Medical students with English and Spanish proficiency possess a distinct skill set that positions them to contribute timely, trusted, evidence-based content to the platform and reduce this inequity.</p><p><strong>Case presentation: </strong>This case study presents the implementation of a credit-bearing Spanish Wikipedia translation elective by the library for fourth-year medical students at Western Michigan University Homer Stryker M.D. School of Medicine, currently the only Spanish Wikipedia elective in a medical school in the United States. The purpose of the course is to increase the quality and readability of medical articles in the English and Spanish versions of the online encyclopedia using evidence-based medicine (EBM) principles.</p><p><strong>Conclusions: </strong>The output from this elective demonstrates that medical students can use their medical knowledge and skills to create and improve articles in English and Spanish on Wikipedia and disseminate evidence-based information to millions of consumers worldwide seeking reputable health information. Learners can leverage their specialized training to minimize the gap between these versions and become active participants in global health. By using technology to their advantage, they provide enduring health information that impacts and reaches many more people in a virtual setting than in a traditional one-on-one clinical encounter.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"136-142"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075579/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expert-recommended tasks for hospital librarians during a healthcare system merger or acquisition: an e-Delphi consensus statement.","authors":"Stacy Posillico, Jaclyn Morales, Saori Wendy Herman","doi":"10.5195/jmla.2026.2031","DOIUrl":"10.5195/jmla.2026.2031","url":null,"abstract":"<p><strong>Objective: </strong>Limited empirical research is available to guide hospital librarians through a healthcare system merger or acquisition. To address this knowledge gap, an e-Delphi research study was used to develop recommended tasks that librarians should consider when consolidating the delivery of library services to a newly merged, geographically distributed healthcare system.</p><p><strong>Methods: </strong>This e-Delphi study was conducted and reported according to the Guidance on Conducting and REporting DElphi Studies (CREDES). The expert panel, composed of 29 hospital librarians, responded to four rounds of questionnaires during April to December 2022. In Round 1, the panelists' qualitative responses were collected and analyzed via thematic analysis to identify potential recommended tasks. In Rounds 2 through 4, tasks were eliminated or prioritized based upon the panelists' rating of each task using a seven-point Likert scale. Those tasks rated as 5, 6, or 7 by ≥75% of the panelists were included in the final consensus statement.</p><p><strong>Results: </strong>The consensus statement identifies 330 recommended tasks. Highly prioritized tasks involve cultivating beneficial relationships with others throughout the merger, particularly newly blended library teams, finance and administrative leadership, information technology/services, and vendors. Marketing and outreach activities and physical library space management tasks were not prioritized. The panelists emphasized understanding organizational context and culture throughout any merger.</p><p><strong>Conclusions: </strong>The recommended tasks can be used by hospital librarians to create an action plan for consolidating and delivering library services in the event of a healthcare system merger or acquisition. Future research on the utility of the recommendations is anticipated.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"125-135"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147693060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taking it a step farther: acknowledging librarians' systematic review work in the promotion or tenure process.","authors":"Rebecca Raszewski, Abigail Goben","doi":"10.5195/jmla.2026.2202","DOIUrl":"10.5195/jmla.2026.2202","url":null,"abstract":"<p><p>Librarians' contributions to systematic review projects receive inconsistent recognition within promotion or tenure processes. A review of thirty-six academic libraries' norms and procedures revealed only two that mentioned systematic reviews. Recognition and inclusion of systematic reviews and other evidence synthesis is further complicated by variance in recognition of interdisciplinary work. This commentary provides recommendations for academic library leadership to establish standards for documenting and evaluating systematic review work in annual reviews and promotion or tenure, explicitly recognizing the value of participation in interdisciplinary scholarship, inclusion of search strategies as a scholarly output, and providing guidance for the external review process. We close with a call to action for professional organizations to establish centralized guidelines to ensure the full recognition of librarianship and scholarly participation in systematic reviews.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"178-183"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing five generative AI chatbots' answers to LLM-generated clinical questions with medical information scientists' evidence summaries.","authors":"Mallory N Blasingame, Taneya Y Koonce, Annette M Williams, Jing Su, Dario A Giuse, Poppy A Krump, Nunzia B Giuse","doi":"10.5195/jmla.2026.2333","DOIUrl":"10.5195/jmla.2026.2333","url":null,"abstract":"<p><strong>Objective: </strong>To compare answers to clinical questions between five publicly available large language model (LLM) chatbots and information scientists.</p><p><strong>Methods: </strong>LLMs were prompted to provide 45 PICO (patient, intervention, comparison, outcome) questions addressing treatment, prognosis, and etiology. Each question was answered by a medical information scientist and submitted to five LLM tools: ChatGPT, Gemini, Copilot, DeepSeek, and Grok-3. Key elements from the answers provided were used by pairs of information scientists to label each LLM answer as in Total Alignment, Partial Alignment, or No Alignment with the information scientist. The Partial Alignment answers were also analyzed for the inclusion of additional information.</p><p><strong>Results: </strong>The entire LLM set of answers, 225 in total, were assessed as being in Total Alignment 20.9% of the time (n=47), in Partial Alignment 78.7% of the time (n=177), and in No Alignment 0.4% of the time (n=1). Kruskal-Wallis testing found no significant performance difference in alignment ratings between the five chatbots (p=0.46). An analysis of the partially aligned answers found a significant difference in the number of additional elements provided by the information scientists versus the chatbots per Wilcoxon-Rank Sum testing (p=0.02).</p><p><strong>Discussion: </strong>Five chatbots did not differ significantly in their alignment with information scientists' evidence summaries. The analysis of partially aligned answers found both chatbots and information scientists included additional information, with information scientists doing so significantly more often. An important next step will be to assess the additional information, both from the chatbots and the information scientists for validity and relevance.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"94-104"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing patient care: the power of librarian-mediated literature reviews.","authors":"Heather J Martin, Carrie Grinstead, Danielle Linden","doi":"10.5195/jmla.2026.2246","DOIUrl":"10.5195/jmla.2026.2246","url":null,"abstract":"<p><strong>Background: </strong>Our health system library fields thousands of requests for literature searches each year in support of research, policy, evidence-based practice projects, and care for individual patients. With fewer library staff than comparable institutions and an engaged, multidisciplinary clinical workforce, we face ongoing pressures to do more with less and to demonstrate our value.</p><p><strong>Case presentation: </strong>A 2021 article in the <i>Journal of Hospital Librarianship</i> offered an existing survey and basic project design that we used to assess our impacts. We adapted, with permission, the survey and methods of \"Analysis of a Hospital Librarian Mediated Literature Search Service at a Regional Health Service in Australia,\" a quality improvement project authored by Siemensma et al. (2021) [1]. Throughout 2023 we sent the adapted survey to all employees and affiliated clinicians who requested literature searches. The survey included five multiple choice questions as well as a free text box for comments. Respondents were asked to provide simple demographic information and consider the impact and quality of results they received from the librarian.</p><p><strong>Conclusions: </strong>Our survey-based evaluation of our literature search service underscores the importance of librarian-mediated literature searches for clinical practice, policy development, and patient care. Demonstrating hospital library impacts is increasingly important and increasingly challenging for understaffed teams. Assessments using previously published surveys are feasible for non-academic libraries and serve as compelling cases for the continued and expanded integration of library resources into clinical practice and decision-making.</p>","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 2","pages":"164-168"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13075576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147693099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}