Informatics for health & social care最新文献_第4页

Digital proficiency: a self-assessment of eHealth literacy and informatics competencies among nursing students. 数字能力：护理学生电子健康素养和信息学能力的自我评估。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-12-31 DOI: 10.1080/17538157.2025.2605554

Ahmed Loutfy, Amina Elzeiny, Corrien Van Belkum, Ahmed Hashem El-Monshed, Asem Al-Helali, Abdulrahman Rashed, Amna Darwish, Sham Marwan

{"title":"Digital proficiency: a self-assessment of eHealth literacy and informatics competencies among nursing students.","authors":"Ahmed Loutfy, Amina Elzeiny, Corrien Van Belkum, Ahmed Hashem El-Monshed, Asem Al-Helali, Abdulrahman Rashed, Amna Darwish, Sham Marwan","doi":"10.1080/17538157.2025.2605554","DOIUrl":"10.1080/17538157.2025.2605554","url":null,"abstract":"Background: Digital transformation in healthcare requires nurses to be proficient in digital tools for effective clinical decision-making and patient management.Aim: To assess self-perceived eHealth literacy and informatics competencies among undergraduate nursing students in the UAE and examine key influencing factors and their interrelationships.Methods: A cross-sectional, anonymous web-based survey was conducted with 119 nursing students using the eHealth Literacy Scale (eHEALS) and the Self-Assessment of Nursing Informatics Competencies Scale (SANICS). Data were analyzed with descriptive statistics, correlation, and moderation analyses in SPSS v28.Results: Students demonstrated moderate to high eHealth literacy (mean 30.85 ± 6.52) and informatics competencies (mean 55.21 ± 12.46). Female students reported significantly higher eHealth literacy than males (p = .020). eHealth literacy was positively correlated with informatics competencies (r = 0.405, p < .001), and Nursing Informatics course GPA significantly moderated this relationship.Conclusions and implications: Integrating experiential digital learning, structured training on electronic health systems such as Wareed, specialized digital literacy courses, graded digital assignments, and regular eHealth literacy training into nursing curricula, alongside systematic assessment of informatics competencies, can better prepare a digitally proficient nursing workforce in the UAE.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"298-313"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145879823","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

Assessing the impact of health information systems on timeliness of medical claim submission in Ghana: a multi-center quasi-experimental study. 评估卫生信息系统对加纳医疗索赔提交及时性的影响：一项多中心准实验研究。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-02-07 DOI: 10.1080/17538157.2026.2621310

Godwin Adzakpah, Nathan Kumasenu Mensah

{"title":"Assessing the impact of health information systems on timeliness of medical claim submission in Ghana: a multi-center quasi-experimental study.","authors":"Godwin Adzakpah, Nathan Kumasenu Mensah","doi":"10.1080/17538157.2026.2621310","DOIUrl":"10.1080/17538157.2026.2621310","url":null,"abstract":"Introduction: The increasing advancement in Information and Communication Technology (ICT) has led to the adoption of Health Information Systems (HIS) in healthcare settings to enhance service delivery. This study evaluated the effect of HIS implementation on the timeliness of medical claims submission within the National Catholic Health Service (NCHS) in Ghana.Methods: Using longitudinal data from 2010 to 2019, the study compared monthly claims submission times across facilities using both paper-based and electronic HIS. The number of days taken to submit claims each month was analyzed using a segmented Interrupted Time-Series approach, employing the Prais-Winsten method. This allowed comparison of claim submission times before and after HIS adoption. A meta-analysis was conducted to determine the overall impact across facilities.Results: Facilities using HIS submitted claims significantly faster than those using paper-based systems, with average submission times of 35.11 days versus 56.51 days, respectively (p < 0.0001). HIS implementation led to an immediate 5.84-day reduction in average submission time. Findings showed that over 75% of the facilities achieved timely submission of claims.Conclusion: In conclusion, HIS significantly improves the timeliness of medical claims submission. Scaling up HIS use for claims processing can enhance efficiency and promote prompt reimbursements from health insurers.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"258-273"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138164","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

Evaluating mobile patient portals from a health behavioral change support perspective: mining user feedback using topic modeling. 从健康行为改变支持角度评估移动患者门户：使用主题建模挖掘用户反馈。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-07 DOI: 10.1080/17538157.2025.2610694

Abdullah Wahbeh, Mohammad Al-Ramahi, Cherie Noteboom, Sajda Qureshi

引用次数: 0

Research trends in hospital information systems in Korea: a topic modeling analysis. 韩国医院信息系统研究趋势：主题建模分析。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-05 DOI: 10.1080/17538157.2025.2607618

Woojong Moon, Jongsun Ahn, Hanyi Lee

{"title":"Research trends in hospital information systems in Korea: a topic modeling analysis.","authors":"Woojong Moon, Jongsun Ahn, Hanyi Lee","doi":"10.1080/17538157.2025.2607618","DOIUrl":"10.1080/17538157.2025.2607618","url":null,"abstract":"This study aims to analyze research papers related to Hospital Information Systems (HIS), including Electronic Health Record and Electronic Medical Record (EMR), in South Korea over three decades. The research explores frequently used terms and concepts in HIS research, examines how these reflect key focus areas, and investigates the evolution of research trends. This study employed text preprocessing, text network analysis, and a large language model (LLM)-based topic modeling approach. Network analysis identified the most connected keywords in the research corpus, highlighting their central importance across diverse studies. Through LLM-based topic modeling, seven distinct research topics were identified. Intertopic distance mapping revealed significant conceptual overlap between system performance and digital transformation research, while Security and Privacy Management and Health Information Exchange emerged as more distinct areas. Temporal analysis demonstrated evolution in research focus, beginning with system performance in the 1990s, shifting toward EMR adoption and nursing applications, then emphasizing digitalization and security concerns. Recent trends continue to emphasize security alongside digital integration of hospital information infrastructure. These findings reveal that future research should prioritize security in complex healthcare ecosystems, address the underdeveloped area of documentation standardization, and investigate user experience across diverse clinical settings to understand HIS implementation barriers.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"356-369"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907467","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

Semantic interoperability and price analytics in hospital transparency data: a multi-stage pipeline with NLP and machine learning. 医院透明度数据中的语义互操作性和价格分析：具有NLP和机器学习的多阶段管道。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-04-02 DOI: 10.1080/17538157.2026.2650681

Thomas Wiese

{"title":"Semantic interoperability and price analytics in hospital transparency data: a multi-stage pipeline with NLP and machine learning.","authors":"Thomas Wiese","doi":"10.1080/17538157.2026.2650681","DOIUrl":"10.1080/17538157.2026.2650681","url":null,"abstract":"Purpose: The U.S. Hospital Price Transparency mandate requires public disclosure of machine-readable files (MRFs), yet profound data heterogeneity hinders their utility for research and consumer use. This study evaluates a novel, multi-stage computational pipeline to systematically process diverse MRFs and enable robust price analysis.Methods: The pipeline integrates a configurable parsing engine with an NLP module using Sentence-BERT embeddings and K-Means clustering for semantic standardization of procedure descriptions and CPT code alignment. It was applied to MRFs from five U.S. hospitals (Mayo Clinic, Johns Hopkins, Stanford, Jackson Memorial, and Mass General) for five elective procedures.Results: The pipeline successfully processed 7,449 records, revealing substantial price variation across hospitals for semantically equivalent services. Predictive modeling using Lasso regression yielded an R^2 of 0.70 (RMSE = $808; MAE = $533).Conclusions: This work advances scalable, semi-automated MRF research methodology, transforming opaque pricing data into an analytically tractable form with implications for healthcare policy and consumer tools.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"185-201"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147611150","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 student-centred informatics approach for depression risk prediction using hybrid machine learning and optimization techniques to support early mental health interventions. 使用混合机器学习和优化技术支持早期心理健康干预的以学生为中心的抑郁症风险预测信息学方法。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-12-23 DOI: 10.1080/17538157.2025.2596200

Anupam Yadav, Heba Abdul-Jaleel Al-Asady, T Narmadha, Salama A Mostafa, Junainah Abd Hamid, Muna Barakat, Aman Shankhyan, Komali Kalla, Jyoti Malik, Prabhat Kumar Sahu

{"title":"A student-centred informatics approach for depression risk prediction using hybrid machine learning and optimization techniques to support early mental health interventions.","authors":"Anupam Yadav, Heba Abdul-Jaleel Al-Asady, T Narmadha, Salama A Mostafa, Junainah Abd Hamid, Muna Barakat, Aman Shankhyan, Komali Kalla, Jyoti Malik, Prabhat Kumar Sahu","doi":"10.1080/17538157.2025.2596200","DOIUrl":"10.1080/17538157.2025.2596200","url":null,"abstract":"This study introduces a student-centred informatics framework designed to predict the risk of depression among students, with the aim of supporting early mental health interventions and personalized educational support. The framework integrates two ensemble machine learning models Logistic Regression Classifier (LRC) and Extra Trees Classifier (ETC) optimized using Subtraction-Average-Based Optimizer (SABO) and Golf Optimization Algorithm (GOA) to enhance predictive accuracy and interpretability. The dataset, collected from a large and diverse student population, includes variables related to study stress, sleep duration, and academic satisfaction factors frequently linked to student mental health. A feature sensitivity analysis using ANOVA ranks these variables by influence, offering insights into potential intervention points. The optimized ETC model (ETSB) achieved an accuracy of 0.9638 (96.38%), significantly outperforming other single and hybrid models. Beyond technical performance, this framework provides a potential digital health tool for use in school health systems or student support platforms. By identifying at-risk individuals early, the study contributes to the development of more equitable, data-informed, and preventive mental health strategies within educational environments.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"99-121"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145812581","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

Click, care, connect: incorporating nursing informatics into undergraduate nursing curricula. 点击、关怀、连接：护理信息学融入本科护理课程。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-11-25 DOI: 10.1080/17538157.2025.2582852

Alexis Harerimana, Kristin Wicking, Narelle Biedermann, Karen Yates

{"title":"Click, care, connect: incorporating nursing informatics into undergraduate nursing curricula.","authors":"Alexis Harerimana, Kristin Wicking, Narelle Biedermann, Karen Yates","doi":"10.1080/17538157.2025.2582852","DOIUrl":"10.1080/17538157.2025.2582852","url":null,"abstract":"Nursing informatics is a driving force for the transformation of healthcare systems. Developing a digitally literate nursing workforce has become mandatory in many universities around the world. This study analyzed how nursing informatics was integrated into undergraduate nursing curricula in Australia and South Africa. A holistic multiple case study approach guided this study. Categorical aggregation of the data from four cases revealed that nursing informatics was conceptualized as clinical data, health information and digitalized nursing profession. Nursing informatics was a requirement for nursing programme accreditation in Australian cases. Across four cases, eight nursing informatics competencies were identified: computer literacy, information literacy, digital communication literacy, digital health literacy, data security and privacy literacy, clinical judgment skills, leadership skills in digital health, and adaptive expertise in technology advancement. Although several efforts have been made to prepare students for nursing informatics in Australia and South Africa, there is a significant gap between the two countries, and the lack of clearly defined nursing informatics competencies and guidelines to develop and teach informatics content were highlighted as hindrances. Thus, developing tools to guide the integration of nursing informatics is recommended.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"2-28"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145608082","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 telemedicine interventions in the care management of melanoma: a systematic review. 远程医疗干预在黑色素瘤护理管理中的有效性：系统综述。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-05 DOI: 10.1080/17538157.2025.2606849

Raoof Nopour

{"title":"Effectiveness of telemedicine interventions in the care management of melanoma: a systematic review.","authors":"Raoof Nopour","doi":"10.1080/17538157.2025.2606849","DOIUrl":"10.1080/17538157.2025.2606849","url":null,"abstract":"Background and objective: Melanoma is a prevalent tumor that requires efficient care management to counter the increasing trend of this disease. This review uses evidence on the applications of telemedicine interventions to enhance the care management of melanoma patients to provide further insight into their efficacy.Materials and methods: This systematic review included English-language original articles and conference papers that investigated the effectiveness of telemedicine in the care management of patients with melanoma. The Web of Science (WoS), PubMed, Scopus, and Google Scholar databases were searched until May 15, 2025, without any time constraints. The results were presented through a narrative synthesis of quantitative and qualitative data.Results: After database searches, 907 studies were identified, and 12 studies investigating the impact of telemedicine on melanoma care were selected for data extraction based on the eligibility criteria. This review demonstrated that telemedicine interventions significantly improve diagnostic and prognostic accuracy, self-awareness, knowledge of melanoma, and patient confidence. Additionally, it provides timely access to specialists and healthcare services efficiently.Discussion: The current systematic review suggests that telemedicine can significantly enhance the quality of care for melanoma patients, improve their quality of life, and promote health at the community level.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"226-242"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907464","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

Assessing the quality and reliability of YouTube™ content on dental cleaning over time. 随着时间的推移，评估YouTube™牙齿清洁内容的质量和可靠性。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-06 DOI: 10.1080/17538157.2025.2606850

Merve Akbaş, Nülüfer Demir, Beyza Bozoklu, Duygu Yaman

{"title":"Assessing the quality and reliability of YouTube™ content on dental cleaning over time.","authors":"Merve Akbaş, Nülüfer Demir, Beyza Bozoklu, Duygu Yaman","doi":"10.1080/17538157.2025.2606850","DOIUrl":"10.1080/17538157.2025.2606850","url":null,"abstract":"Background: YouTube has become a major source of health information, including content on dental cleaning. However, reliability and quality of videos remain unclear. This study evaluated quality and reliability of YouTube videos related to dental cleaning by comparing two time periods: before and after the COVID-19 pandemic.Methods: Google Trends identified \"dental cleaning\" as the most searched term related to non-surgical periodontal therapy. Two periodontists evaluated the 100 YouTube™ videos from 2019 and 2024 using VIQI, DISCERN, Modified DISCERN, GQS, and a customized content analysis. Statistical analyses were conducted using IBM SPSS 26.0.Results: A total of 28 videos from 2019 and 34 videos from 2024 were included. GQS scores were significantly higher in 2019 compared to 2024 (p < .001). In both years, \"useful\" videos had longer durations, higher DISCERN (p < .05), Modified DISCERN (p < .05), GQS (p = .001), and VIQI scores (p < .001). Content Analysis scores were positively correlated with all quality indices (p < .001).Conclusion: Despite an increase in the number of useful videos according to Customized Content Index in 2024, the overall quality and reliability of YouTube™ videos on dental cleaning remain limited, highlighting the need for more accurate and professional content.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"345-355"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145914396","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

Identifying and prioritizing the barriers and facilitators to mHealth adoption among older adults: an expert-driven best-worst method approach to inform healthcare. 确定老年人采用移动医疗的障碍和促进因素并确定其优先顺序：专家驱动的最佳-最差方法方法，以告知医疗保健。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-11-24 DOI: 10.1080/17538157.2025.2585333

Betul Yildirim, Ertugrul Ayyildiz

{"title":"Identifying and prioritizing the barriers and facilitators to mHealth adoption among older adults: an expert-driven best-worst method approach to inform healthcare.","authors":"Betul Yildirim, Ertugrul Ayyildiz","doi":"10.1080/17538157.2025.2585333","DOIUrl":"10.1080/17538157.2025.2585333","url":null,"abstract":"This study identifies and prioritizes barriers and facilitators shaping older adults' adoption of mobile health (mHealth) technologies, including apps and wearables. Using the Best-Worst Method (BWM), an expert-driven multi-criteria decision-making approach, we evaluate a structured framework spanning five domains: Technological Proficiency and Confidence, Physical and Cognitive Limitations, Perceived Relevance and Need, Usability and Design, and Economic Factors. A multidisciplinary panel of clinicians, gerontology and rehabilitation specialists, public-health researchers, and HCI/technology practitioners assessed the relative importance of each domain and its sub-criteria. Results indicate that personal barriers dominate: Physical and Cognitive Limitations and Technological Proficiency/Confidence rank highest, with lack of familiarity with technology and limited technical skills emerging as pivotal obstacles. By contrast, Economic Factors and Usability/Design, while relevant, are comparatively less decisive in determining uptake. The findings translate into practical guidance for health systems and developers, emphasizing staged digital-literacy supports, age-inclusive interface requirements (clear text, high contrast, large touch targets, forgiving flows), and lightweight clinician cueing integrated into routine care. The proposed framework offers a replicable, decision-oriented basis to prioritize interventions, inform procurement and design, and monitor implementation, with the overarching aim of improving mHealth use, self-management, and quality of life among older adults.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"49-61"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145590710","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