Computers, informatics, nursing : CIN最新文献_第4页

Experiences of Multiperspective Text-Based Debriefing Using Generative Artificial Intelligence for Nursing (GAIN) in Simulation. 基于文本的多视角生成式护理人工智能（GAIN）模拟述评的经验

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-11 DOI: 10.1097/CIN.0000000000001625

Jiyoung Kim

{"title":"Experiences of Multiperspective Text-Based Debriefing Using Generative Artificial Intelligence for Nursing (GAIN) in Simulation.","authors":"Jiyoung Kim","doi":"10.1097/CIN.0000000000001625","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001625","url":null,"abstract":"The use of generative artificial intelligence in nursing simulation debriefing is an emerging approach; however, evidence on its educational value remains limited. This study aimed to explore learners' experiences with multiperspective debriefing incorporating text-based generative artificial intelligence in nursing education. A qualitative study was conducted with 12 third-year nursing students recruited through purposive sampling in South Korea. The multiperspective debriefing approach integrated face-to-face, instructor-led, text-based, generative artificial intelligence-assisted, and self-debriefing strategies. A qualitative content analysis following Elo and Kyngäs' approach was conducted to identify categories reflecting learners' experiences. Five categories emerged: \"Comparison with face-to-face debriefing,\" \"Learning environment and interaction,\" \"Advantages,\" \"Limitations and improvements,\" and \"Competencies to be enhanced.\" Learners demonstrated improved competencies in error recognition, information seeking, communication, and empathy, though concerns remained regarding accuracy and depth of reflection. A multiperspective framework leveraging the complementary strengths of instructor-led, text-based generative artificial intelligence, and self-debriefing can support effective reflection. Clear prompt strategies and practical guidelines are needed to ensure high-quality debriefing in resource-limited settings.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149019513","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}

引用次数: 0

Cross-cultural Adaptation and Psychometric Evaluation of the Artificial Intelligence Ethical Reflection Scale. 人工智能伦理反思量表的跨文化适应与心理测量学评价。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-10 DOI: 10.1097/CIN.0000000000001626

Merve Gözde Sezgi̇n, Songül Bi̇şki̇n Çeti̇n, Hicran Bektaş, Fatma Cebeci̇

{"title":"Cross-cultural Adaptation and Psychometric Evaluation of the Artificial Intelligence Ethical Reflection Scale.","authors":"Merve Gözde Sezgi̇n, Songül Bi̇şki̇n Çeti̇n, Hicran Bektaş, Fatma Cebeci̇","doi":"10.1097/CIN.0000000000001626","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001626","url":null,"abstract":"The rapid integration of artificial intelligence (AI) into health care has heightened the importance of ethical reflection, accountability, and responsible decision-making in nursing practice. Accordingly, there is a need for valid and reliable instruments to assess AI-related ethical reflection. This study aimed to adapt the Artificial Intelligence Ethical Reflection Scale (AIERS) into Turkish and evaluate its psychometric properties in a sample of nursing students. The study was conducted with 427 students enrolled in an undergraduate nursing program in Turkey. The sample was randomly divided into 2 subgroups, and construct validity analyses were performed on separate data sets using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Initial CFA findings indicated that the original 3-factor structure was not adequately supported in the Turkish sample. Therefore, the latent structure of the scale was reexamined using EFA. The revised analyses supported a unidimensional 9-item structure, accounting for 53.71% of the total variance. CFA findings demonstrated acceptable model fit (χ2/df= 2.344; GFI = 0.926; AGFI = 0.887; IFI = 0.958; CFI = 0.957; TLI = 0.945; RMSEA = 0.077; SRMR = 0.049). Internal consistency reliability was high (Cronbach's α = 0.912; McDonald's ω = 0.915). Test-retest reliability (n = 10; 4-wk interval between administrations) was also found to be good (ICC = 0.82), although these findings should be interpreted with caution given the very small retest sample size. The findings provide initial psychometric evidence supporting the validity and reliability of the revised AIERS in a sample of Turkish nursing students for assessing AI-related ethical reflection. Further validation studies in diverse samples and analyses of measurement invariance are recommended.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148921624","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}

引用次数: 0

Standardized Nursing Terminologies in Computerized Systems: A Bibliometric Analysis of Global Research Trends. 计算机系统中的标准化护理术语：全球研究趋势的文献计量学分析。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-10 DOI: 10.1097/CIN.0000000000001618

Dylan Pin, Antoine Lamer, Aurélie Demagny-Warmoes, Emmanuelle Cartron, Paul Quindroit

{"title":"Standardized Nursing Terminologies in Computerized Systems: A Bibliometric Analysis of Global Research Trends.","authors":"Dylan Pin, Antoine Lamer, Aurélie Demagny-Warmoes, Emmanuelle Cartron, Paul Quindroit","doi":"10.1097/CIN.0000000000001618","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001618","url":null,"abstract":"The integration of standardized nursing terminologies (SNTs) into computerized systems represents a major step toward enhancing the visibility, interoperability, and quality of nursing documentation. To better understand how this field has evolved, this study provides a bibliometric overview of global research examining the use and implementation of SNTs in computerized environments. A rapid review of the Web of Science Core Collection was conducted to identify peer-reviewed publications up to August 2025. Data were analyzed using Bibliometrix and Biblioshiny to perform descriptive, citation, and network analyses, complemented by a quantitative synthesis of SNTs and computerized systems reported in the included studies. A total of 258 articles were included. Publication activity has grown steadily over the past 3 decades, with an average of 7.4 publications per year. NANDA-I, ICNP, and the Omaha System were the most frequently studied terminologies, while electronic health records were the predominant computerized context. The United States, Brazil, and Korea were leading contributors to this research field. Overall, findings reveal a growing but uneven body of evidence. Despite increasing adoption, major challenges remain regarding semantic interoperability, cross-system integration, and long-term sustainability of SNT implementation in digital health infrastructures.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148922292","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}

引用次数: 0

The Effect of Social Media Posts on Secondary Traumatic Stress and Mental Health of University Students After the Kahramanmaraş Earthquake. 卡赫拉马马拉伊地震后社交媒体帖子对大学生二次创伤应激和心理健康的影响

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001466

Ayşe Kuzu Durmaz, Yasemin Şeyma Akman

引用次数: 0

Educational Robotics in Health Care: A Scoping Review of Students' Attitudes, Perceptions, and Beliefs. 教育机器人在医疗保健：学生的态度，观念和信念的范围审查。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001509

Jessica Habeck, Amy Knepple Carney, Erin McArthur, Seon Yoon Chung

{"title":"Educational Robotics in Health Care: A Scoping Review of Students' Attitudes, Perceptions, and Beliefs.","authors":"Jessica Habeck, Amy Knepple Carney, Erin McArthur, Seon Yoon Chung","doi":"10.1097/CIN.0000000000001509","DOIUrl":"10.1097/CIN.0000000000001509","url":null,"abstract":"Background: Advances in robotics are transforming health sciences education and helping to prepare students for future careers. Understanding students' perceptions, comfort, and attitudes towards these tools is important to help enhance learning.Methods: Using the JBI scoping review protocol and the Arksey and O'Malley framework, we conducted a comprehensive keyword search of the literature in CINAHL, ERIC, Education Source, MEDLINE, PsycINFO, and Web of Science, resulting in 576 unique records. Articles with a health care/health sciences student population, a physical robot, and an assessment of student attitudes were included.Results: Eighteen studies encompassing a diverse group of participants, including nursing students, medical students, and multidisciplinary students in various fields such as communication, computer science, nutrition, and psychology, were included in this review. Robot types studied across these studies included: telepresence robots, surgical robots, humanoid robots, nonhumanoid robots, robot animal companions, and other robot classifications (social, service, and companion). Students consistently reported positive perceptions with increased satisfaction with robots, valuing their benefits for learning, stress reduction, and career enhancement interest.Discussion: Further investigation of how students from various disciplines use educational robots and factors influencing their engagement will allow educators to tailor educational robotics and better serve our diverse student populations.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147477904","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}

引用次数: 0

Implementation of a Validated Digital Competence E-Learning Program in Graduate Nursing Students. 在护理研究生中实施有效的数字能力电子学习计划。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001561

Shannastaniar Aisya Adif, Miaofen Yen, Dhea Natashia, Linh Thuy Khanh Tran, Muhammad Hadi

{"title":"Implementation of a Validated Digital Competence E-Learning Program in Graduate Nursing Students.","authors":"Shannastaniar Aisya Adif, Miaofen Yen, Dhea Natashia, Linh Thuy Khanh Tran, Muhammad Hadi","doi":"10.1097/CIN.0000000000001561","DOIUrl":"10.1097/CIN.0000000000001561","url":null,"abstract":"Digital competence is increasingly required for nursing graduates as health care systems integrate digital and technological systems. However, validated and scalable approaches to implementing digital competence education in nursing programs remain scarce. Therefore, this study was conducted to evaluate the feasibility and instructional responsiveness of the DigiNurse e-learning program for graduate nursing education. A multinational mixed-methods pilot study with a pre-post design was conducted among 30 graduate nursing students (postlicensure, practicing registered nurses) from Taiwan, Indonesia, and Vietnam. Participants completed 4 validated DigiNurse eLearning modules aligned with the Digital Competence Assessment Checklist. Feasibility indicators included recruitment, retention, adherence, usability, and acceptability. The findings showed that the feasibility criteria were fulfilled. Participants reported high usability and acceptability across multilingual contexts, with improvements observed across most digital competence items. DigiNurse demonstrated strong feasibility and implementation potential, supporting progression to larger-scale educational evaluation and curricular integration.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148152985","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}

引用次数: 0

Artificial Intelligence Experiences of Nurse Educators: A Phenomenological Study. 护士教育工作者的人工智能体验：现象学研究。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001457

Sinan Aydogan, Fatma Dursun Ergezen, Semiha Asli Bozkurt

引用次数: 0

Design Thinking in Healthcare UNMC Guideline (DTHUNmC). 医疗保健UNMC指南（DTHUNmC）中的设计思维。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001430

Katherine Bravo, Tedd J Welniak, Jennifer Kallio

{"title":"Design Thinking in Healthcare UNMC Guideline (DTHUNmC).","authors":"Katherine Bravo, Tedd J Welniak, Jennifer Kallio","doi":"10.1097/CIN.0000000000001430","DOIUrl":"10.1097/CIN.0000000000001430","url":null,"abstract":"Increased use of Design Thinking as an innovative problem-solving technique has led to a spike in the number of disciplines drawn to its common characteristics of collaboration, empathy, and quick testing of ideas. Published reports of these experiences are scattered and variable in reporting structure and content. The disjointed format of articles featuring Design Thinking makes it difficult to discern the quality of the described interventions and to determine the relatability or usability of the shared information. After a search of common databases, the authors identified 870 references, which were narrowed to 255 that fit the criteria of \"Design Thinking\" and \"Health.\" After extracting information from these resources, consulting experts and drawing from internal experiences, the 22-item Design Thinking in Healthcare UNMC (DTHUNmC) Guideline was created to establish clarity in reporting the creation and development of health care-based interventions. For each of the 22 criteria, published examples are included illustrating the use of our criteria from recently published sources. Explanation of the rationale for inclusion of the criteria is also provided. The DTHUNmC Guideline represents a standardized mechanism for reporting Human-centered Design-related work in health care disciplines. Potential uses for this guideline will be explored.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13544572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145812621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effect of Interactive Digital Game on Nursing Students' Intramuscular Injection Skills, Exam Anxiety, and Satisfaction: A Randomized Controlled Trial. 交互式数字游戏对护生肌肉注射技能、考试焦虑和满意度的影响：一项随机对照试验。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001482

Nehir Demirel, Hatice Kaya

{"title":"The Effect of Interactive Digital Game on Nursing Students' Intramuscular Injection Skills, Exam Anxiety, and Satisfaction: A Randomized Controlled Trial.","authors":"Nehir Demirel, Hatice Kaya","doi":"10.1097/CIN.0000000000001482","DOIUrl":"10.1097/CIN.0000000000001482","url":null,"abstract":"Intramuscular injection is a core nursing skill, yet students frequently experience difficulties in mastering the procedure and heightened anxiety during performance assessments. This randomized controlled, assessor and analyst-blinded study was conducted to evaluate the effect of an interactive digital game on nursing students' acquisition of intramuscular injection skills, exam-related anxiety, and satisfaction with the instructional approach. A total of 91 first-year nursing students participated, of whom 60 met eligibility criteria and were randomly assigned to experimental and control groups. Both groups received theoretical instruction and observed a demonstration of intramuscular injection, while only the experimental group played the interactive digital game before practice. Outcomes were measured using validated instruments and assessed by an independent observer. Students in the experimental group demonstrated higher post-test knowledge and skill scores, reported fewer intrusive thoughts associated with anxiety during the exam, and expressed greater satisfaction with the learning experience compared with the control group. Findings indicate that incorporating interactive digital game into nursing education offers an engaging and effective method to enhance psychomotor skill performance, alleviate assessment-related anxiety, and promote positive learning experiences. This innovative educational strategy may contribute to preparing nursing students for safer and more competent patient care.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146032645","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}

引用次数: 0

Innovation Inventory Heatmap for Nurse-led Technology Prioritization. 创新库存热图：护士主导的技术优先排序。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-09-01 DOI: 10.1097/CIN.0000000000001471

Olga Kagan, Nelita Iuppa, Anna Schoenbaum, Darren Batara, Hiyam Nadel, Kathleen McGrow, Chad Carroll, Angela Ross

{"title":"Innovation Inventory Heatmap for Nurse-led Technology Prioritization.","authors":"Olga Kagan, Nelita Iuppa, Anna Schoenbaum, Darren Batara, Hiyam Nadel, Kathleen McGrow, Chad Carroll, Angela Ross","doi":"10.1097/CIN.0000000000001471","DOIUrl":"10.1097/CIN.0000000000001471","url":null,"abstract":"The increasing complexity of health care technology adoption demands structured evaluation tools that reflect organizational priorities and clinical realities. In response, the Healthcare Information and Management Systems Society (HIMSS) Nursing Innovation Advisory Workgroup (NIAWG) developed the Innovation Inventory Heatmap, which informs nurse leaders of the latest trends and serves as a basis for the Innovation Scoring and Impact Guide for Healthcare Technologies (INSIGHT) calculator. This article provides the first formal, peer-reviewed description of the Innovation Inventory Heatmap, documenting its development, survey validation, and expert panel review using the content validity index. Using standardized metrics and real-world insights, the heatmap enables nurse leaders to assess emerging technologies across domains, such as feasibility, operational impact, and user benefit. By integrating implementation science and nursing informatics, this work advances a replicable, evidence-based approach to technology prioritization that promotes nurse-led innovation governance and supports digital transformation.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014228","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}

引用次数: 0