Pub Date : 2024-04-01Epub Date: 2024-05-09DOI: 10.1080/02763869.2024.2329012
Brittany R Heer, Chris Gillette, Anne Geary, M Jane McDaniel
Evidence-based medicine (EBM) instruction is required for physician assistant (PA) students. As a follow-up to an initial didactic year survey, this study seeks to understand which attributes of EBM resources clinical PA students find most and least useful, their self-efficacy utilizing medical literature, and their usage of EBM tools in the clinic. Results indicate that students preferred UpToDate and PubMed. PA students valued ease of use, which can inform instructors and librarians. Respondents utilized EBM tools daily or a few days a week, underscoring the importance of EBM tools in real-world scenarios. After their clinical year, students felt moderately confident utilizing the medical literature, emphasizing EBM training.
{"title":"Clinical Physician Assistant Students' Perceptions of Evidence-Based Medicine Resources: A Cross-Sectional Examination.","authors":"Brittany R Heer, Chris Gillette, Anne Geary, M Jane McDaniel","doi":"10.1080/02763869.2024.2329012","DOIUrl":"10.1080/02763869.2024.2329012","url":null,"abstract":"<p><p>Evidence-based medicine (EBM) instruction is required for physician assistant (PA) students. As a follow-up to an initial didactic year survey, this study seeks to understand which attributes of EBM resources clinical PA students find most and least useful, their self-efficacy utilizing medical literature, and their usage of EBM tools in the clinic. Results indicate that students preferred UpToDate and PubMed. PA students valued ease of use, which can inform instructors and librarians. Respondents utilized EBM tools daily or a few days a week, underscoring the importance of EBM tools in real-world scenarios. After their clinical year, students felt moderately confident utilizing the medical literature, emphasizing EBM training.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 2","pages":"119-129"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-05-09DOI: 10.1080/02763869.2024.2335139
Borui Zhang
Named entity recognition (NER) is a powerful computer system that utilizes various computing strategies to extract information from raw text input, since the early 1990s. With rapid advancement in AI and computing, NER models have gained significant attention and been serving as foundational tools across numerus professional domains to organize unstructured data for research and practical applications. This is particularly evident in the medical and healthcare fields, where NER models are essential in efficiently extract critical information from complex documents that are challenging for manual review. Despite its successes, NER present limitations in fully comprehending natural language nuances. However, the development of more advanced and user-friendly models promises to improve work experiences of professional users significantly.
命名实体识别(NER)是一种功能强大的计算机系统,自 20 世纪 90 年代初以来,它利用各种计算策略从原始文本输入中提取信息。随着人工智能和计算技术的飞速发展,NER 模型获得了极大的关注,并成为众多专业领域的基础工具,用于组织研究和实际应用中的非结构化数据。这一点在医疗和保健领域尤为明显,NER 模型对于从复杂文档中有效提取关键信息至关重要,而这些文档对于人工审核来说具有挑战性。尽管 NER 取得了成功,但在充分理解自然语言的细微差别方面仍存在局限性。不过,开发更先进、更方便用户使用的模型有望大大改善专业用户的工作体验。
{"title":"Getting to Know Named Entity Recognition: Better Information Retrieval.","authors":"Borui Zhang","doi":"10.1080/02763869.2024.2335139","DOIUrl":"10.1080/02763869.2024.2335139","url":null,"abstract":"<p><p>Named entity recognition (NER) is a powerful computer system that utilizes various computing strategies to extract information from raw text input, since the early 1990s. With rapid advancement in AI and computing, NER models have gained significant attention and been serving as foundational tools across numerus professional domains to organize unstructured data for research and practical applications. This is particularly evident in the medical and healthcare fields, where NER models are essential in efficiently extract critical information from complex documents that are challenging for manual review. Despite its successes, NER present limitations in fully comprehending natural language nuances. However, the development of more advanced and user-friendly models promises to improve work experiences of professional users significantly.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 2","pages":"196-202"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-05-09DOI: 10.1080/02763869.2024.2335138
Lydia Howes, Elizabeth Frakes, Yingying Zhang, Donna Baluchi, Carmin Smoot, Nena Schvaneveldt
While LibGuides are widely used in libraries to curate resources for users, there are a number of common problems, including maintenance, design and layout, and curating relevant and concise content. One health sciences library sought to improve our LibGuides, consulting usage statistics, user feedback, and recommendations from the literature to inform decision making. Our team recommended a number of changes to make LibGuides more usable, including creating robust maintenance and content guidelines, scheduling regular updates, and various changes to the format of the guides themselves to make them more user-friendly.
{"title":"Improving LibGuides at a Health Sciences Library: A Case Study.","authors":"Lydia Howes, Elizabeth Frakes, Yingying Zhang, Donna Baluchi, Carmin Smoot, Nena Schvaneveldt","doi":"10.1080/02763869.2024.2335138","DOIUrl":"10.1080/02763869.2024.2335138","url":null,"abstract":"<p><p>While LibGuides are widely used in libraries to curate resources for users, there are a number of common problems, including maintenance, design and layout, and curating relevant and concise content. One health sciences library sought to improve our LibGuides, consulting usage statistics, user feedback, and recommendations from the literature to inform decision making. Our team recommended a number of changes to make LibGuides more usable, including creating robust maintenance and content guidelines, scheduling regular updates, and various changes to the format of the guides themselves to make them more user-friendly.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 2","pages":"130-151"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-05-09DOI: 10.1080/02763869.2024.2326768
Emily W Blevins, Nakia J Woodward, Kelly Loyd, Aaron S Castle, Rachel R Walden, Richard L Wallace
The objective of this study was to examine the accuracy of indexing for "Appalachian Region"[Mesh]. Researchers performed a search in PubMed for articles published in 2019 using "Appalachian Region"[Mesh] or "Appalachia" or "Appalachian" in the title or abstract. Only 17.88% of the articles retrieved by the search were about Appalachia according to the ARC definition. Most articles retrieved appeared because they were indexed with state terms that were included as part of the mesh term. Database indexing and searching transparency is of growing importance as indexers rely increasingly on automated systems to catalog information and publications.
{"title":"Geographic Barriers to Indexing: Examining Appalachia.","authors":"Emily W Blevins, Nakia J Woodward, Kelly Loyd, Aaron S Castle, Rachel R Walden, Richard L Wallace","doi":"10.1080/02763869.2024.2326768","DOIUrl":"10.1080/02763869.2024.2326768","url":null,"abstract":"<p><p>The objective of this study was to examine the accuracy of indexing for \"Appalachian Region\"[Mesh]. Researchers performed a search in PubMed for articles published in 2019 using \"Appalachian Region\"[Mesh] or \"Appalachia\" or \"Appalachian\" in the title or abstract. Only 17.88% of the articles retrieved by the search were about Appalachia according to the ARC definition. Most articles retrieved appeared because they were indexed with state terms that were included as part of the mesh term. Database indexing and searching transparency is of growing importance as indexers rely increasingly on automated systems to catalog information and publications.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 2","pages":"106-118"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01Epub Date: 2024-05-09DOI: 10.1080/02763869.2024.2330244
Shalu Gillum
Health sciences library public services underwent profound changes due to the COVID-19 pandemic. Circulation, reference services, instruction, interlibrary loan, and programming were all significantly affected. Libraries adapted by moving to virtual services, featuring online workshops, video consultations, and digital information sharing. Reference services moved to virtual consultations for a streamlined experience, and instruction transitioned to interactive video tutorials. Interlibrary loan services saw a decrease in print material lending but an increase in electronic subscriptions. Library programming shifted from in-person to virtual, focusing on wellness activities. This post-pandemic transformation underscores the importance of ongoing adaptation to meet changing user needs.
{"title":"The Changing Face of Public Services in Health Sciences Libraries Post-Pandemic.","authors":"Shalu Gillum","doi":"10.1080/02763869.2024.2330244","DOIUrl":"10.1080/02763869.2024.2330244","url":null,"abstract":"<p><p>Health sciences library public services underwent profound changes due to the COVID-19 pandemic. Circulation, reference services, instruction, interlibrary loan, and programming were all significantly affected. Libraries adapted by moving to virtual services, featuring online workshops, video consultations, and digital information sharing. Reference services moved to virtual consultations for a streamlined experience, and instruction transitioned to interactive video tutorials. Interlibrary loan services saw a decrease in print material lending but an increase in electronic subscriptions. Library programming shifted from in-person to virtual, focusing on wellness activities. This post-pandemic transformation underscores the importance of ongoing adaptation to meet changing user needs.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 2","pages":"152-163"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}