Computers, informatics, nursing : CIN最新文献

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Harnessing Predictive Analytics for Nursing: A PyHealth-Driven Approach to Hospital Readmission Prediction Using EHR Data. 利用预测分析护理:pyhealth驱动的方法,医院再入院预测使用电子病历数据。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001472
Jose Huerta
{"title":"Harnessing Predictive Analytics for Nursing: A PyHealth-Driven Approach to Hospital Readmission Prediction Using EHR Data.","authors":"Jose Huerta","doi":"10.1097/CIN.0000000000001472","DOIUrl":"10.1097/CIN.0000000000001472","url":null,"abstract":"<p><p>Health care systems face considerable challenges of hospital readmission, which bear adverse implications for patient outcomes and compromise productivity and efficient use of system resources. In this study, PyHealth, an open-source health care machine-learning tool, and the RETAIN model, a reverse-time attention neural network, were used to predict hospital readmissions within 30 days after discharge. The analysis was performed on the publicly available MIMIC-III demo data set that was additionally deidentified for patient privacy. The predictability of hospital readmissions within 30 days after discharge was evaluated using nursing-centric clinical components such as diagnosis, procedures, and prescriptions. The results revealed a strong potential of open-source tools such as PyHealth in enhancing nursing support for workflows such as discharge planning, education, and postdelivery interventions. Accordingly, integrations like PyHealth can assist in improving patient care before discharge so as to minimize the number of hospital readmissions.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145914613","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
Developing AI-generated Storybooks for Patient Education: A Practical Framework for Nursing Educators and Clinicians. 为患者教育开发人工智能生成的故事书:护理教育工作者和临床医生的实用框架。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001476
Yasemin Boy, Funda Çam
{"title":"Developing AI-generated Storybooks for Patient Education: A Practical Framework for Nursing Educators and Clinicians.","authors":"Yasemin Boy, Funda Çam","doi":"10.1097/CIN.0000000000001476","DOIUrl":"10.1097/CIN.0000000000001476","url":null,"abstract":"<p><p>Recent advances in Large Language Models and Text-to-Image technologies present new opportunities for developing innovative and personalized patient education tools. This study aimed to establish a practical framework for creating multimodal digital storybooks that combine narrative text, visuals, and audio narration to support patients with chronic diseases. A qualitative content development design was applied, using an iterative process guided by expert feedback to ensure clinical accuracy and cultural relevance. ChatGPT-5 (OpenAI) was utilized for prompt engineering, while Gemini 2.5 Pro (Google LLC) generated storybooks integrating text, visuals, and narration for 3 chronic conditions: heart failure, diabetes mellitus, and chronic obstructive pulmonary disease. Each storybook underwent multiple cycles of refinement to address clinical detail, readability, and visual accuracy. Findings indicated that while AI systems can generate patient education materials, general prompts were insufficient, and technical limitations, such as medically inaccurate visuals, required expert correction. Despite these challenges, the framework demonstrated that high-quality, accessible, and engaging storybooks can be produced when AI is used in collaboration with subject matter experts. This approach highlights AI's role as a supportive tool for health care professionals, enhancing their ability to deliver effective, patient-centered education that promotes understanding, engagement, and improved self-management in chronic disease care.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146055819","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
Nurses' Perspectives of a Digital Supportive Intervention When Caring for Patients During Radiotherapy for Prostate Cancer: A Qualitative Study. 护理人员在护理前列腺癌放疗患者时的数字化支持干预观点:一项定性研究。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001495
Christina Grape Viding, Marie-Therese Crafoord, Ann Langius-Eklöf, Kay Sundberg
{"title":"Nurses' Perspectives of a Digital Supportive Intervention When Caring for Patients During Radiotherapy for Prostate Cancer: A Qualitative Study.","authors":"Christina Grape Viding, Marie-Therese Crafoord, Ann Langius-Eklöf, Kay Sundberg","doi":"10.1097/CIN.0000000000001495","DOIUrl":"10.1097/CIN.0000000000001495","url":null,"abstract":"<p><p>Nurses' duties have come to include new technological solutions when supporting patients in cancer care. Patient-reported outcomes through digital self-monitoring in routine clinical care are highly recommended when supporting patients in cancer care. Learning about nurses' perceptions when providing digital support would enhance understanding of this new way of working and is necessary for future development and implementation. We performed a focus group interview with nurses who had been working with an interactive app (Interaktor) for digital support in daily practice when caring for patients undergoing radiotherapy for prostate cancer. The interview revealed that the nurses had retrieved useful information through the app about patients' symptoms and concerns that had promoted contact with the patients. Furthermore, they acknowledged that the app supported patients in communicating emotions such as worry. Monitoring and managing patients' symptoms were not seen as difficult or overly burdensome, although the organization at the clinic had difficulty putting it into practice. Overall, the nurses had a positive attitude and gained more knowledge about the patients than in standard care. This study contributes to the growing research on digital technology in health care delivery and its potential for supporting patients in cancer care.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152220","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
Centering Nursing in AI-enabled Care: Alliance for Nursing Informatics Offers Perspectives on the Adoption and Use of Artificial Intelligence as Part of Clinical Care. 以人工智能护理为中心:护理信息学联盟提供了采用和使用人工智能作为临床护理一部分的观点。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001557
Madison Horton, Michelle Lardner, Meghan Reading Turchioe
{"title":"Centering Nursing in AI-enabled Care: Alliance for Nursing Informatics Offers Perspectives on the Adoption and Use of Artificial Intelligence as Part of Clinical Care.","authors":"Madison Horton, Michelle Lardner, Meghan Reading Turchioe","doi":"10.1097/CIN.0000000000001557","DOIUrl":"10.1097/CIN.0000000000001557","url":null,"abstract":"","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147937198","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
A Pilot Report on Extracting Symptom Onset Date and Time From Clinical Notes in Patients Presenting With Chest Pain. 从胸痛患者的临床记录中提取症状发作日期和时间的试点报告。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001406
Anjaly George, Aashrith Maisa, Caitlin Dreisbach, Sukardi Suba
{"title":"A Pilot Report on Extracting Symptom Onset Date and Time From Clinical Notes in Patients Presenting With Chest Pain.","authors":"Anjaly George, Aashrith Maisa, Caitlin Dreisbach, Sukardi Suba","doi":"10.1097/CIN.0000000000001406","DOIUrl":"10.1097/CIN.0000000000001406","url":null,"abstract":"<p><p>The timing of clinical events is important information in understanding disease progression and its critical context and relationship to treatment and patient outcomes. However, time information documentation in the electronic health record (EHR) is inconsistent, hindering its utility in research and clinical care. In research where event timing is crucial, such as symptom onset in acute coronary syndrome, automated tools can expedite data collection, reducing the reliance on labor-intensive manual reviews. We aimed to apply natural language processing (NLP) methods for extracting date and time (DateTime) information from free-text EHR clinical notes. Two off-the-shelf NLP pipelines, parsedatetime and regular expression ( regex ), were pilot tested on 71 annotated clinical notes: History and Physical (n=49), Emergency Department Screening (n=3), and Triage Notes (n=19). Parsedatetime identified correct DateTime information in 36 notes (50.7%) with an F1-score of 0.31 (low performance), while regex failed to produce any accurate outputs. Despite parsedatetime outperforming regex , its performance remains inadequate. Both approaches required significant refinement and customization to improve efficacy. To optimize automated DateTime extraction, future research should focus on advanced rule-based NLP methods capable of handling complex narratives. Consistent time documentation by clinicians, adhering to standardized formats, remains essential for improving the downstream usability of EHR data.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145812591","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
Immersive Virtual Simulation for Undergraduate Nursing Education on Migrant Mental Health: A Mixed-Methods Study. 流动人口心理健康本科护理教育沉浸式虚拟模拟:一项混合方法研究。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001431
Geneveave Barbo, Donald Leidl, Hua Li, Marjorie Montreuil, Solina Richter, Pammla Petrucka
{"title":"Immersive Virtual Simulation for Undergraduate Nursing Education on Migrant Mental Health: A Mixed-Methods Study.","authors":"Geneveave Barbo, Donald Leidl, Hua Li, Marjorie Montreuil, Solina Richter, Pammla Petrucka","doi":"10.1097/CIN.0000000000001431","DOIUrl":"10.1097/CIN.0000000000001431","url":null,"abstract":"<p><p>Nursing graduates reported feeling unprepared to address migrants' mental health needs. Immersive virtual reality offers an innovative approach to enhance therapeutic communication, cultural competence, and humility. This study examined the acceptability of a virtual reality simulation focused on migrants with mental health challenges and its impact on students' attitudes and cultural competence. A multi-phase sequential mixed methods design was used: phase 1 involved intervention development through an integrative review and a participatory approach; phase 2 employed a one-group pre-quasi-experimental and post-quasi-experimental design; phase 3 employed an interpretive description. Students found the simulation highly acceptable, reporting significant improvements in cultural competence and modest reductions in stigma. Qualitative findings revealed 4 themes: interacting with virtual reality technology; bridging educational gaps; shifting perspectives and practice; and navigating care through lived experiences. Virtual reality shows promise for strengthening mental health nursing education and practice by addressing gaps in clinical placements and traditional teaching. Future research should expand content, improve usability and realism, assess long-term impacts, and support faculty training.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145866824","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
Effectiveness of a Virtual Communication Laboratory in Enhancing Therapeutic Communication Skills in Nursing Students. 虚拟沟通实验室在提高护理学生治疗沟通技巧中的效果。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001413
Nazmiye Yildirim, Ayşe Gürbüz
{"title":"Effectiveness of a Virtual Communication Laboratory in Enhancing Therapeutic Communication Skills in Nursing Students.","authors":"Nazmiye Yildirim, Ayşe Gürbüz","doi":"10.1097/CIN.0000000000001413","DOIUrl":"10.1097/CIN.0000000000001413","url":null,"abstract":"<p><p>This study aimed to evaluate the effectiveness of a web-based Virtual Communication Laboratory, which was developed to include informative content, interactive exercises, and animated practice videos, on nursing students' therapeutic and nontherapeutic communication skills. This quasi-experimental study was conducted with 39 fourth-year nursing students from a public university in Türkiye who were enrolled in a 14-week clinical mental health nursing internship. Students used the Virtual Communication Laboratory in the eighth week. The Therapeutic Communication Skills Scale for Nursing Students was administered in the 7th (pretest) and 14th (posttest) weeks. The scale assessed students' self-reported frequency of using specific communication techniques during clinical practice. Mean scores improved from 18.66 to 14.02 for Nontherapeutic Communication Skills, from 28.17 to 34.02 for Therapeutic Communication Skills I, and from 17.92 to 19.46 for Therapeutic Communication Skills II (all P <.001). Students rated the platform highly for ease of use and usefulness, and reported that it facilitated reflection and aligned with clinical scenarios. The Virtual Communication Laboratory offers a user-friendly and engaging learning experience that supports the development of therapeutic communication skills. Given the growing importance of blended learning environments, these findings suggest its potential as a valuable complementary tool in nursing education.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145835950","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
Response to Letter to the Editor. 对给编辑的信的回应。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001432
Patricia A Ball Dunlap, Eun-Shim Nahm, Elizabeth E Umberfield
{"title":"Response to Letter to the Editor.","authors":"Patricia A Ball Dunlap, Eun-Shim Nahm, Elizabeth E Umberfield","doi":"10.1097/CIN.0000000000001432","DOIUrl":"10.1097/CIN.0000000000001432","url":null,"abstract":"","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147583547","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
Integrating Spatial Awareness into Nursing EHR Design: A Scoping Review of Usability and Cognitive Load. 将空间意识整合到护理电子病历设计:可用性和认知负荷的范围审查。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001598
{"title":"Integrating Spatial Awareness into Nursing EHR Design: A Scoping Review of Usability and Cognitive Load.","authors":"","doi":"10.1097/CIN.0000000000001598","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001598","url":null,"abstract":"","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":"44 7","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148379431","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
Clinical Nurses' Point-of-Care Technology Use and Digital Health Competency: Scoping Review. 临床护士的技术点使用和数字健康能力:范围审查。
IF 1.9
Computers, informatics, nursing : CIN Pub Date : 2026-07-01 DOI: 10.1097/CIN.0000000000001465
Jiwon Park, Eun-Shim Nahm
{"title":"Clinical Nurses' Point-of-Care Technology Use and Digital Health Competency: Scoping Review.","authors":"Jiwon Park, Eun-Shim Nahm","doi":"10.1097/CIN.0000000000001465","DOIUrl":"10.1097/CIN.0000000000001465","url":null,"abstract":"<p><p>The integration of digital health technologies (DHTs) in health care has been shown to improve patient care and management of chronic conditions while reducing care costs. Nurses, as the largest health care workforce, frequently use DHTs at the bedside, necessitating ongoing adaptation to point-of-care (POC) technologies. However, research on nurses' competencies in using these tools and the impact of competency levels remains limited. This scoping review explores factors influencing nurses' competency in DHT use, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Using Arksey and O'Malley's methodological approach, academic databases were searched for peer-reviewed studies from 2014 to 2024 focusing on registered nurses, DHTs, POC technologies, and digital health competency. Studies on undergraduate nursing students and those published before 2014 were excluded. Of 1513 articles identified, 20 were reviewed. The findings revealed that demographic, psychological, practical skill, and organizational factors shape digital health competency. Younger and educated nurses adapted quickly to digital tools, while experienced nurses leveraged clinical knowledge to their use. Organizational support and targeted training were critical for sustained digital tool use. Strengthening nurses' DHT competencies at the POC is essential for modern health care. Future research should focus on interventions that enhance these competencies to ensure better patient outcomes.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014134","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
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