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

Construction and Validation of Artificial Neural Network Model Suggesting Nursing Diagnosis: A Proof-of-Concept Study. 提示护理诊断的人工神经网络模型的构建与验证：一项概念验证研究。

Computers, informatics, nursing : CIN Pub Date : 2025-06-01 DOI: 10.1097/CIN.0000000000001293

Ryota Nishi, Kimikazu Kashiwagi, Shinichiroh Yokota, Masamichi Ishii, Kengo Miyo

{"title":"Construction and Validation of Artificial Neural Network Model Suggesting Nursing Diagnosis: A Proof-of-Concept Study.","authors":"Ryota Nishi, Kimikazu Kashiwagi, Shinichiroh Yokota, Masamichi Ishii, Kengo Miyo","doi":"10.1097/CIN.0000000000001293","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001293","url":null,"abstract":"There are challenges involving human resource management, as the selection and evaluation processes for nursing diagnostic labels are time-consuming, resulting in an excessive workload. This, in turn, can lead to insufficient attention being given to patients' medical issues. As a proof of concept, to solve challenges related to nursing diagnoses, we developed an artificial neural network model using progress records and evaluated its performance. Specifically, datasets were obtained from progress record data from the critical care department system in Japan between 2014 and 2019 and the corresponding nursing diagnosis data from electronic medical records. The model was trained, and its performance was evaluated. We compared several methods for vectorizing progress records and evaluated performance with and without oversampling for imbalanced data. We used a naive Bayes classifier for comparison. The model using term frequency-inverse document frequency achieved the highest values for both accuracy and the area under the precision-recall curve across all target nursing diagnoses (accuracy = 0.705-0.911; area under the precision-recall curve = 0.387-0.929). The artificial neural network model outperformed the naive Bayes classifier in both accuracy and area under the precision-recall curve, which indicated its superiority as a classifier.","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":"144183378","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 Health in Indonesian Nursing: A Scoping Review. 印度尼西亚护理中的数字健康：范围审查。

Computers, informatics, nursing : CIN Pub Date : 2025-05-29 DOI: 10.1097/CIN.0000000000001326

Lisa McKenna, Ferry Efendi, Christine Sommers

{"title":"Digital Health in Indonesian Nursing: A Scoping Review.","authors":"Lisa McKenna, Ferry Efendi, Christine Sommers","doi":"10.1097/CIN.0000000000001326","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001326","url":null,"abstract":"Digital health is rapidly changing healthcare delivery. The work of nurses, key users of information and information systems, is changing, and nurses must be digitally literate, possessing skills to influence the design, development, and implementation of digital systems. Indonesia is a geographically diverse country and witnessing increasing digital health capability. To establish baseline knowledge, this review explored what is currently about digital health in Indonesian nursing and how prepared nurses are for increasing digitalization and its impacts. A scoping review was undertaken with five databases searched. No date range was applied. Twenty-two studies were included, 72.7% were published after 2020, and 68.2% were conducted on the island of Java. From content analysis, three categories were identified: (1) nurses' readiness for digital health; (2) supporting specific healthcare needs; and (3) health information systems. Varied levels of readiness of nurses for digital health were reported. Nurses engaged in mobile application development to support patients with specific clinical conditions in the community and development and implementation of hospital information systems, particularly around nursing diagnosis, planning, and documentation. Indonesian nurses are engaging in digital health, and more training is required for nursing students and qualified nurses to fully utilize digital health.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182833","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

Factors Influencing Acceptance of Nursing Informatics System Among Nursing Students in Nursing Education: A Cross-sectional Study. 护理教育中护生接受护理信息系统的影响因素：一项横断面研究。

Computers, informatics, nursing : CIN Pub Date : 2025-05-29 DOI: 10.1097/CIN.0000000000001330

Samar Thabet Jallad, Raya Sawalha, Fawwaz Tawfiq Awamleh

{"title":"Factors Influencing Acceptance of Nursing Informatics System Among Nursing Students in Nursing Education: A Cross-sectional Study.","authors":"Samar Thabet Jallad, Raya Sawalha, Fawwaz Tawfiq Awamleh","doi":"10.1097/CIN.0000000000001330","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001330","url":null,"abstract":"Nursing informatics has become a requirement for nursing curricula, developed and integrated into the healthcare system, and supplied to hospitals with qualified nurses who have sufficient informatics skills already taught at the university level to ensure the delivery of safe and high-quality patient care. This study aims to examine the factors that may impact the integration of nursing informatics into the nursing curriculum. A cross-sectional design was used with 155 nursing students who were enrolled in a health informatics course in nursing program. The TAM, or Technology Acceptance Model, was used. The results showed the majority of participants had some experience with health information systems and nursing informatics in a clinical setting. The average score for nursing informatics acceptance was 3.51 ± 0.76. Additionally, all aspects impacting nursing informatics acceptance-human, technological, organizational, and usefulness and ease of use-were positively and significantly correlated (P = .00). Thus, to successfully integrate nursing informatics, this study demonstrated the importance of technology quality, organizational support, educational training, sociodemographic aspects, and ethical concerns. Educational institutions may improve patient care and healthcare outcomes by addressing these factors and facilitating the adoption and successful use of nursing informatics systems.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182291","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

Improving Alarm Management Practices: Wireless Bed Exit Alerts on Medical-Surgical Units. 改进警报管理实践：医疗外科病房的无线床出口警报。

Computers, informatics, nursing : CIN Pub Date : 2025-05-28 DOI: 10.1097/CIN.0000000000001324

Amy D Clodfelter

{"title":"Improving Alarm Management Practices: Wireless Bed Exit Alerts on Medical-Surgical Units.","authors":"Amy D Clodfelter","doi":"10.1097/CIN.0000000000001324","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001324","url":null,"abstract":"This study reviewed the application of sociotechnical models and frameworks to reduce wireless calls without introducing risk and impacting patient care, supplementing the findings of the study conducted by Clodfelter (Studies in Health Technology and Informatics 2024;315:463-467). This study was conducted at an 815-bed Magnet-recognized facility with comprehensive trauma, children's, and stroke services. Two models, both by Sittig and Singh, were applied to evaluate interdependent and interrelated concepts of human and technical components in the sociotechnical work system of medical-surgical nursing units. Sittig and Singh's (2010) eight-dimensional sociotechnical model comprehensively represents the factors influencing the design, development, use, implementation, and evaluation of health information technology. Interventions were piloted on three medical-surgical units with like hardware and software wireless integrations. The quantitative analysis demonstrated the effectiveness of the interventions, showing significant reductions in nuisance alerts without introducing new risks. Furthermore, there were no unintended consequences identified following the implementation of the intervention. There are direct, qualitative benefits related to decreased nuisance alarms and clinician experience. Return on investment and the value proposition reflect both tangible and intangible costs. Workflow changes, policy revisions, and system data were used to demonstrate meaningful improvement without unintended consequences. Tailoring workflows by addressing sociotechnical factors can reduce nuisance alerts and improve usefulness of systems.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181004","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

Psychometric Analysis of a Nursing Informatics Competencies Survey. 护理信息学能力调查的心理测量分析。

Computers, informatics, nursing : CIN Pub Date : 2025-05-22 DOI: 10.1097/CIN.0000000000001325

Kristi Miller, Monika S Schuler, Jason R Thrift, Kimberly A Taylor, Brady Urquhart, Mary Gaffney, Olivia N Boice

{"title":"Psychometric Analysis of a Nursing Informatics Competencies Survey.","authors":"Kristi Miller, Monika S Schuler, Jason R Thrift, Kimberly A Taylor, Brady Urquhart, Mary Gaffney, Olivia N Boice","doi":"10.1097/CIN.0000000000001325","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001325","url":null,"abstract":"As healthcare information technology continues to expand its influence on healthcare, the American Association of Colleges of Nursing has recognized the importance of informatics in nursing by creating a healthcare and informatics domain in the newly revised Essentials. Nurse educators are tasked with ensuring graduates have the informatics competencies necessary for safe patient outcomes. A research team examined the Self-Assessment of Nursing Informatics Competencies Scale-18 and compared the competencies assessed to the American Association of Colleges of Nursing Essentials, the Healthcare Information and Management Systems Society's Technology Informatics Guiding Education Reform Competencies, and current trends in healthcare information technology. Revisions were made to fill competency gaps and reflect current technological advances. The survey was finalized as a 19-item Likert scale instrument called the Nursing Informatics Competencies Survey-2024. Higher student self-assessment scores indicate higher perceived competence. The Nursing Informatics Competencies Survey-2024 was distributed virtually to nursing students of all program types across the southeastern United States (n = 202). A Cronbach's α of .959 was calculated, indicating excellent internal consistency. A Mann-Whitney U test was used to compare mean scores (M = 58, SD = 11.92) for BSN students (n = 49) and (M = 55, SD = 15.79) for RN-BSN students (n = 121). No significant difference was found between the total scores (P = .589, Z = -0.540). The Nursing Informatics Competencies Survey-2024 is a valid and reliable instrument to determine nursing students' informatics competencies.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182843","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

Construction and Application of a Home Care Model for Patients with Peripherally Inserted Central Catheters Based on a Mobile Care App. 基于移动护理App的外周中心置管患者家庭护理模式构建与应用

Computers, informatics, nursing : CIN Pub Date : 2025-05-22 DOI: 10.1097/CIN.0000000000001322

Jianhua Zheng, Ming Lu, Yang Yang, Mingzhe Meng, Jinxiu Li, Lu Wang

{"title":"Construction and Application of a Home Care Model for Patients with Peripherally Inserted Central Catheters Based on a Mobile Care App.","authors":"Jianhua Zheng, Ming Lu, Yang Yang, Mingzhe Meng, Jinxiu Li, Lu Wang","doi":"10.1097/CIN.0000000000001322","DOIUrl":"https://doi.org/10.1097/CIN.0000000000001322","url":null,"abstract":"This study aimed to develop a mobile care application for peripherally inserted central catheter maintenance, which incorporated five functions: data recording, health education, image uploading, regular reminders, and online consultation. The impact of this application on the self-management ability, related complications, and satisfaction of patients with home care was evaluated. This mobile care application was developed and designed in accordance with the International Organization for Standardization 25010 standard, and the scores of various functions of International Organization for Standardization 25010 were also assessed. The experiment consisted of 120 patients with peripherally inserted central catheters in the hematology department who were receiving home care. Among them, 60 members in the control group adopted the conventional home care model. The 60 members in the experimental group, in addition to the conventional home care, also participated in the use of the mobile care application multiple times. It was observed that the self-management ability, related complications, and satisfaction of the peripherally inserted central catheter home-catheterized patients in the experimental group were significantly improved. This application has been proven to be an effective home care tool, capable of providing convenient and comprehensive nursing support for patients through the synergistic effect of multidimensional function modules, effectively compensating for the deficiencies of traditional home care in information transmission, real-time monitoring, and personalized guidance.","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144183484","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

Nursing Variables Predicting Readmissions in Patients with a High Risk: A Scoping Review. 预测高危患者再入院的护理变量：一项范围综述。

Computers, informatics, nursing : CIN Pub Date : 2024-12-01 DOI: 10.1097/CIN.0000000000001241

引用次数: 0

A Systematic Review of Nurses' Perceptions of Electronic Health Record Usability Based on the Human Factor Goals of Satisfaction, Performance, and Safety. 基于满意度、绩效和安全性人为因素目标的护士对电子病历可用性认知的系统回顾。

Computers, informatics, nursing : CIN Pub Date : 2024-03-01 DOI: 10.1097/01.NCN.0001010040.82889.37

引用次数: 0

Describing Medication Administration and Alert Patterns Experienced by New Graduate Nurses During the First Year of Practice. 描述新毕业护士在第一年实习中经历的药物管理和警报模式。

Computers, informatics, nursing : CIN Pub Date : 2024-02-01 DOI: 10.1097/01.NCN.0001007408.55731.9f

引用次数: 0

Taking Action Against Clinician Burnout Through Reducing the Documentation Burden With an Operating Room Supply Scanning Approach. 通过减少手术室供应扫描方法的文件负担来应对临床医生的职业倦怠。

Computers, informatics, nursing : CIN Pub Date : 2024-01-01 DOI: 10.1097/01.NCN.0001005824.12549.c8

引用次数: 0