{"title":"Best Practices in Mitigating the Impact of BOT Attacks in Internet-Mediated Research.","authors":"Carolyn S Harmon","doi":"10.1097/CIN.0000000000001332","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001332","url":null,"abstract":"","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478468","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}
{"title":"Application and Challenges of Large Language Models in Clinical Nursing: A Systematic Review.","authors":"Jiaojiao Song, Wenlong Liu, Yazhe Wang, Xin Hu, Lina Chen, Xin Wu, Congru Zheng, Qing Gu","doi":"10.1097/CIN.0000000000001328","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001328","url":null,"abstract":"<p><p>This review aims to summarize the current status, future prospects, and challenges of large language models in the field of clinical nursing. This systematic review follows the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines for literature selection and analysis. By searching databases such as EMBASE, CINAHL, MEDLINE, and Web of Science, with a time frame from January 1, 2021, to October 23, 2024, 15 eligible studies were included. The analysis results indicate that large language models can significantly improve the efficiency and quality of nursing services, including clinical decision support, patient education, nursing documentation generation, and workflow optimization. However, several challenges were also identified in practical applications, such as data privacy protection, misleading model outputs, and ethical issues. Despite these challenges, large language models hold great potential in the nursing field. The paper discusses several solutions to address these challenges and looks ahead to the future development directions of large language model technology, with the expectation that it will be more widely and deeply applied in the clinical nursing field.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319176","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}
Dandan Gu, Yangyang Cao, Xiaolan Zhou, Yangyang Zan, Xu Zhang, Juan Xie, Ming Yu
{"title":"Digital Twins in the Field of Nursing: A Literature Review.","authors":"Dandan Gu, Yangyang Cao, Xiaolan Zhou, Yangyang Zan, Xu Zhang, Juan Xie, Ming Yu","doi":"10.1097/CIN.0000000000001338","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001338","url":null,"abstract":"<p><strong>Background: </strong>Digital twin technology, as an emerging tool in healthcare, is gradually demonstrating significant potential for application in nursing. The concept of a digital twin originates from the mapping between virtual models and physical entities, which enables real-time monitoring and analysis of patients' health status, providing accurate support for nursing care.</p><p><strong>Methods: </strong>This review comprehensively examined the advances in the use of digital twin technology in nursing, analyzed the current state of development in this field, and highlighted the advantages and limitations of digital twin technology in nursing practice.</p><p><strong>Results: </strong>Digital twin technology has significant advantages in the nursing field, such as disease monitoring, health management, precision nutrition intervention, risk prediction, home care support, and decision support. However, there are also shortcomings in the current application process, including difficulties in technical implementation and data security risks.</p><p><strong>Discussion: </strong>Digital twin technology has broad application prospects in the nursing field and can provide effective support and guidance for nursing practice. However, to better promote its application, there is an urgent need to address technical and ethical issues to facilitate the comprehensive development of this technology.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289730","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}
{"title":"Older Adults' and Healthcare Professionals' Perspectives on Web-Based Interventions to Promote Healthy Lifestyle Habits.","authors":"Audrey Lavoie, Dominique Truchot-Cardot, Véronique Dubé","doi":"10.1097/CIN.0000000000001339","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001339","url":null,"abstract":"<p><p>The use of Web-based interventions has expanded considerably in recent years, particularly during the COVID-19 pandemic, due to the increased need for remote care, especially among older adults. These interventions could support healthy lifestyle habits, but little is known about the perspectives of potential users. The aim of this study was to investigate the perspectives of older adults and healthcare professionals on Web-based interventions for promoting healthy lifestyles. A qualitative survey was conducted with 20 older adults and 22 healthcare professionals using online questionnaires. Among them, 13 participants (seven older adults and six healthcare professionals) took part in semistructured interviews. The data were analyzed using descriptive statistics and thematic analysis. The results show that older adults are less convinced of the relevance of Web-based interventions, citing technological barriers and a preference for face-to-face care. In contrast, healthcare professionals recognize the potential of Web-based interventions to support healthy habits. Both groups agreed on the importance of specific content, such as examples of healthy habits, but differed in their preferences regarding mode of delivery. Older adults preferred stand-alone interventions, whereas healthcare professionals favored integrating professional support. These findings can guide researchers designing new interventions that address the perspectives of both older adults and healthcare professionals to promote healthy lifestyle habits.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289731","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}
{"title":"The Effectiveness of a Virtual Game Application Developed to Alleviate the Fear of Nursing Students During Invasive Procedures: A Systematic Review.","authors":"Samineh Esmaeilzadeh, Mehmet Aygün","doi":"10.1097/CIN.0000000000001341","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001341","url":null,"abstract":"<p><strong>Background: </strong>This systematic review aims to examine the effectiveness of a virtual game application developed to alleviate the fear that nursing students feel during invasive procedures.</p><p><strong>Methods: </strong>During the literature review, the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) flowchart was used. The review was limited by the year. A comprehensive search was performed through the [MeSH] keywords (Nursing Students, Virtual Reality, Invasive procedures, Fear) until June 1, 2024, in databases of Google Scholar, Scopus, PubMed, Science Direct, Web of Science, MEDLINE, EBSCOhost, and Cochrane Library. PROSPERO: CRD42024607117.</p><p><strong>Results: </strong>Four (36%) studies were randomized controlled trials, and seven (64%) were quasi-experimental. The studies examining the effectiveness of the virtual game practice developed to alleviate the fear that nursing students felt during invasive procedures showed that the interventions were effective. It was found that 55% of the studies in the research were conducted with second graders, and 90% of the studies were intravenous. It was seen that virtual reality simulation was used in 73% of the studies. Although the studies were found to be effective, the results were found to be less significant.</p><p><strong>Discussion: </strong>The inferences from the study findings led to the belief that the use of virtual reality practice in certain procedures in educational curricula can be effective.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144278062","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}
Penni I Watts, Brett Shorten, Peter Bosworth, Shelly Camp, David Alexandre Cruz Walma, Allison Shorten
{"title":"A Mixed-Methods Evaluation of a Virtual Interprofessional Collaboratory Experience.","authors":"Penni I Watts, Brett Shorten, Peter Bosworth, Shelly Camp, David Alexandre Cruz Walma, Allison Shorten","doi":"10.1097/CIN.0000000000001335","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001335","url":null,"abstract":"<p><p>Interprofessional education is essential to prepare students of health professions to work in clinical practice teams. Integrating team skills into classes is challenging due to schedule conflicts, curriculum variations, and general academic demands. Virtual asynchronous delivery can help overcome these barriers, offering opportunities to simulate team-based care planning. The Interprofessional Collaboratory Experience included four distinct modules. Using an online learning management system, students completed team-based care planning activities for a pediatric patient at two different age points and during transitional care. A mixed-methods evaluation integrated postactivity Interprofessional Collaborative Competency Attainment Scale results. A total of 858 students representing eight different professions completed the collaboratory experience over five course iterations (2020-2021). Interprofessional Collaborative Competency Attainment Scale results confirmed that gender (P < .001), cohort (P = .005), and profession (P < .001) were significant predictors of score change, and age group (P = .281) was not. Qualitative thematic analysis revealed the following: interprofessional collaboration, communication and respect, professional growth as a healthcare team member, and value and impact of other professions. An asynchronous virtual course for team care effectively supported interprofessional competency development for students across healthcare professions.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144278061","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}
{"title":"The Power of Prepopulated Handoff Report: Optimizing Nurse-Nurse Communication and Patient Experience.","authors":"Meredith Kuhlmann, Olawunmi Obisesan, Lauren McGinnis, Tamara Otey","doi":"10.1097/CIN.0000000000001337","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001337","url":null,"abstract":"<p><p>Ineffective communication during nurse-to-nurse handoffs can jeopardize patient safety and continuity of care. The purpose of this pretest-posttest quasi-experimental study was to examine the effect of an electronic health record-prepopulated nurse handoff tool on communication, efficiency, and patient experience. Nurses' perceptions of information completeness, handoff duration, and overall experience were examined, followed by patients' satisfaction with nurse communication obtained from the Hospital Consumer Assessment of Healthcare Providers and Systems survey. Independent-sample and Welch t tests were used to evaluate changes in information completeness, handoff duration, and overall satisfaction. The results suggested the prepopulation of critical patient data likely reduced omissions and errors, contributing to perceived information completeness. The decrease in handoff time also suggests potential for workflow improvements, efficiency, and increased nurse satisfaction. Nurses reported significant improvements in capturing critical information, information clarity, timely completion, overall satisfaction, and reduced handoff time. Most notably, this intervention led to a substantial 20.10% increase in patient satisfaction with their nurses' ability to \"always\" explain things clearly, as measured on the Hospital Consumer Assessment of Healthcare Providers and Systems nurse communication domain question. Standardized electronic health record-prepopulated handoff reports hold promise for optimizing nurse handoff communication and efficiency.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144278063","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}
{"title":"Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.","authors":"Belgin Varol","doi":"10.1097/CIN.0000000000001250","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001250","url":null,"abstract":"<p><p>As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge about the effects of artificial intelligence, its outcomes, and how it will be used, as well as potential labor concerns. This study aims to determine the artificial intelligence anxiety levels of nursing students and examine whether there is a relationship with their self-efficacy levels. This cross-sectional study, conducted at a public nursing school in Turkey, involved 317 nursing students. Data were collected using a personal information form, the General Self-efficacy Scale, and the Artificial Intelligence Anxiety Scale. There was a negative, moderately strong correlation between the General Self-efficacy Scale and the learning subdimension ( r = -0.369) and the Artificial Intelligence Anxiety Scale ( r = -0.313) and a weak negative correlation between the job replacement subdimension ( r = -0.215), sociotechnical blindness subdimension ( r = -0.232), and artificial intelligence configuration subdimension ( r = -0.211). The General Self-efficacy Scale has a significant negative effect on the Artificial Intelligence Anxiety Scale ( β = -.313, t = -5.845, P < .05). These findings suggest that higher self-efficacy is associated with lower artificial intelligence anxiety. It is recommended to enhance technical competence and self-efficacy in nursing education.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":"43 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144183179","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}