Computers, informatics, nursing : CIN最新文献_第2页

Development and Validation of Artificial Intelligence-Assisted Discharge Education Material for Patients Undergoing Coronary Artery Bypass Graft: A Methodological Study. 人工智能辅助冠状动脉搭桥术患者出院教育材料的开发与验证：方法学研究。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001458

Inci Mercan Annak, Dilara Sahan

{"title":"Development and Validation of Artificial Intelligence-Assisted Discharge Education Material for Patients Undergoing Coronary Artery Bypass Graft: A Methodological Study.","authors":"Inci Mercan Annak, Dilara Sahan","doi":"10.1097/CIN.0000000000001458","DOIUrl":"10.1097/CIN.0000000000001458","url":null,"abstract":"The study's aim was to validate artificial intelligence (AI)-assisted discharge education material for patients undergoing coronary artery bypass graft (CABG) surgery. The discharge training material was prepared with the assistance of the consensus GPT. The material was then subjected to a thorough evaluation by a panel of 12 experts in terms of content validity, readability, comprehensibility, and actionability. The material demonstrated a content validity ratio of 0.88. The readability of the material was evaluated using the Ateşman readability formula, which yielded a score of 76.5, indicating that the material was easy to read. In addition, the readability of the material was assessed using the Bezirci-Yılmaz readability formula, which yielded a score of 18.52, indicating an academic level of readability. The comprehensibility and actionability scores obtained from the Patient Education Materials Assessment Tool for Printable Materials were 73.24 and 69.04, respectively, indicating moderate levels of comprehensibility and actionability. This study presents an innovative approach to addressing the educational needs of patients undergoing CABG surgery regarding discharge. It demonstrates for the first time the strategic role of AI in enhancing efficiency, accessibility, and patient engagement, while also providing a foundation for future research through guidance on integrating AI into discharge education materials.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145954833","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

Smartphone Dependency and Attitudes Toward Restriction Policies During Clinical Training: Evidence From Portuguese Nursing Students. 临床培训中智能手机依赖和对限制政策的态度：来自葡萄牙护理学生的证据。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001522

Pardis Rahmatpour, Susana Gaspar, Vitor Parola, Hugo Neves, Rui Gonçalves, Isabel J Oliveira

{"title":"Smartphone Dependency and Attitudes Toward Restriction Policies During Clinical Training: Evidence From Portuguese Nursing Students.","authors":"Pardis Rahmatpour, Susana Gaspar, Vitor Parola, Hugo Neves, Rui Gonçalves, Isabel J Oliveira","doi":"10.1097/CIN.0000000000001522","DOIUrl":"10.1097/CIN.0000000000001522","url":null,"abstract":"Smartphones are widely used in nursing education but may pose ethical and safety challenges during clinical training. This study examined factors associated with smartphone dependency among Portuguese nursing students. In this cross-sectional study, 371 undergraduate nursing students were selected through convenience sampling and completed an online questionnaire in 2024. The questionnaire included demographic information, items related to smartphone usage, and attitudes toward related policies. For analysis, the data on students were divided into 2 groups based on their smartphone dependency: group 1 (n = 207) consisted of low-dependent users, and group 2 (n = 164) consisted of high-dependent users. Group differences were examined using independent t tests and χ 2 tests, and binary logistic regression was used to identify factors associated with smartphone dependency. The mean age of students was 21.9 ± 4 years. In the adjusted analysis, daily smartphone use was positively associated with smartphone dependency (OR = 1.63, P = .003), whereas favorable attitudes toward restriction policies were associated with lower odds of high dependency (OR = 0.92, P = .007). Smartphone dependency among nursing students is associated with distinct behavioral and attitudinal profiles. These findings underscore the need for targeted education and policy development addressing both ethical awareness and digital professionalism in clinical environments.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147488535","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

Digital Transformation in Clinical Genetics: A Concept Analysis. 临床遗传学的数字化转型：概念分析。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001479

Kelly Bontempo, Kevin S Hughes, Diana Ivankovic, Veronica Parker, Kathleen Valentine

{"title":"Digital Transformation in Clinical Genetics: A Concept Analysis.","authors":"Kelly Bontempo, Kevin S Hughes, Diana Ivankovic, Veronica Parker, Kathleen Valentine","doi":"10.1097/CIN.0000000000001479","DOIUrl":"10.1097/CIN.0000000000001479","url":null,"abstract":"Using technology to radically improve performance or the influence of business, known as digital transformation, could reshape health care by making care more accessible, personalized, and data-driven, leading to improved patient outcomes and more efficient care delivery. Currently, there is no standardized definition of digital transformation specifically within the context of clinical genetics service delivery. Using Walker and Avant's method of concept analysis, a comprehensive overview of digital transformation in clinical genetics is provided through identifying the concept and describing its attributes, antecedents, consequences, and empirical referents. Six key attributes of digital transformation in clinical genetics were identified: technology-driven data integration, efficiency, patient-centeredness, safety and privacy, equitable access, and outcome improvement. The following definition is proposed: digital transformation in clinical genetics is the integration of data-driven advanced technologies, such as artificial intelligence, data analytics, and digital platforms, into the delivery of genetic services to improve efficiency, enhance patient-centered care, ensure equitable access to services, and optimize clinical outcomes, all while prioritizing the safety and privacy of personal, familial, and genetic data through robust data management. A clear and formal definition will assist practitioners in understanding how digital transformation fits into the evolving landscape of clinical genetics.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168968","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

Fair and Efficient Nurse Scheduling With Answer Set Programming in Hospital Practice: From Rules to Rosters. 医院实践中基于答案集规划的公平高效护士调度：从规则到名册。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001511

Nicola Ramacciati, Marco Maratea, Carmine Dodaro

引用次数: 0

Digital Transformation in Clinical Genetics: A Concept Analysis. 临床遗传学的数字化转型：概念分析。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001623

引用次数: 0

Embedding Evaluation in Credentialing Systems: A Nursing Education Quality Improvement Initiative. 在证书体系中嵌入评估：护理教育质量改进倡议。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001521

Abby Bell, Kelley Noll, Amy Pridemore, Claire Thompson

引用次数: 0

YouTube as a Learning Tool for Urethral Catheterization: A Content and Quality Analysis. YouTube作为导尿的学习工具：内容和质量分析。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001614

Asuman Çobanoğlu, Yesim Yaman Aktas

{"title":"YouTube as a Learning Tool for Urethral Catheterization: A Content and Quality Analysis.","authors":"Asuman Çobanoğlu, Yesim Yaman Aktas","doi":"10.1097/CIN.0000000000001614","DOIUrl":"10.1097/CIN.0000000000001614","url":null,"abstract":"This study aimed to assess the content and quality of existing YouTube videos on the urethral catheterization procedure. The study used a descriptive research design. Forty-one (41) videos were examined on YouTube. Urethral Catheterization Skill Checklist, DISCERN, Global Quality Standard (GQS), and JAMA were used to collect the study data. Among the videos included in the study, 51.2% were for female patients and 48.8% were for male patients. Content analysis revealed that critical procedural steps were frequently omitted in a substantial proportion of the videos: hand hygiene was not addressed in 22% of the videos, preprocedure information was not provided in 10.1%, latex allergy screening was absent in 82.9%, patient privacy was not ensured in 12.2%, and adherence to aseptic principles was not demonstrated in 7.3%. No statistically significant relationship was found between DISCERN, GQS, and JAMA scores and popularity variables such as video duration, year of upload to YouTube, views, and likes ( P >.05). The urethral catheterization videos evaluated in this study were generally of moderate quality; however, they exhibited notable shortcomings with respect to scientific reliability and adherence to standard procedural steps. Accordingly, online instructional videos should be developed in a more reliable, evidence-based, and professionally standardized manner.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148907800","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

Toward Responsible Use of Synthetic Data in Nursing Research. 给编辑的信。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001589

Lisa C Lindley, Chelsea Horn-Clark, Tami H Wyatt

引用次数: 0

Concept Coverage of SNOMED CT in Social Determinants of Health. SNOMED CT在健康社会决定因素中的概念覆盖。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001518

Hyeyoung Lee, Sumi Sung

引用次数: 0

Securing Safety and Quality in AI-generated Patient Education: A Nurse-led Methodological Framework Integrating Kolcaba's Comfort Theory. 确保人工智能患者教育的安全和质量：一个以护士为主导的方法框架，整合Kolcaba的舒适理论。

IF 1.9

Computers, informatics, nursing : CIN Pub Date : 2026-10-01 DOI: 10.1097/CIN.0000000000001564

Mücahide Gökçen Gökalp, Türkan Çalışkan, Berna Cafer Karalar

{"title":"Securing Safety and Quality in AI-generated Patient Education: A Nurse-led Methodological Framework Integrating Kolcaba's Comfort Theory.","authors":"Mücahide Gökçen Gökalp, Türkan Çalışkan, Berna Cafer Karalar","doi":"10.1097/CIN.0000000000001564","DOIUrl":"10.1097/CIN.0000000000001564","url":null,"abstract":"Generative artificial intelligence offers personalized patient education, yet clinical inaccuracy and lack of theoretical grounding threaten health care safety. This study validates a \"nurse-led\" AI protocol for generating safe, theory-guided digital education materials based on Kolcaba's Comfort Theory. A methodological design established a three-stage iterative prompt engineering process (initial, clinical refinement, and theoretical alignment). Stroke, chronic kidney disease, and COPD served as case models. Quality was assessed via expert panel reviews (n=3) using the Content Validity Index and Ateşman's Readability Index. The protocol effectively mitigated \"AI hallucinations.\" Theoretical integration ensured holistic alignment across comfort domains. Readability scores significantly improved from 48.5 to 66.8. High expert consensus (CVI: 0.93-0.95) demonstrated clinical safety, proving nursing expertise is a mandatory safety layer. This framework provides a replicable quality-control protocol for nurses as digital content curators, ensuring AI-generated materials are clinically safe and theoretically sound.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148383526","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