Health Informatics Journal最新文献_第2页

Enhancing medical information retrieval: Re-engineering the tala-med search engine for improved performance and flexibility. 增强医疗信息检索：重新设计tala-med搜索引擎以提高性能和灵活性。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-24 DOI: 10.1177/14604582251381271

Florian Albrecht, Ruslan Talpa, Raphael Scheible-Schmitt

{"title":"Enhancing medical information retrieval: Re-engineering the tala-med search engine for improved performance and flexibility.","authors":"Florian Albrecht, Ruslan Talpa, Raphael Scheible-Schmitt","doi":"10.1177/14604582251381271","DOIUrl":"https://doi.org/10.1177/14604582251381271","url":null,"abstract":"Objective: Accessing reliable medical information online in Germany is often hindered by misinformation and low health literacy. Tala-med, an ad-free search engine, was developed to provide curated, expert-reviewed content with filters for trustworthiness, recency, user-friendliness, and comprehensibility. This study re-engineered the original system to overcome technical limitations while maintaining result consistency. Methods: A modular architecture was designed using Elasticsearch, a fastText-based synonym system, and a subZero-powered admin interface. The system was evaluated using 214 unique queries to compare performance and result similarity with the legacy version. Results: The new implementation improved query processing speed while preserving result consistency. Synonym handling was enhanced using fastText, and system maintainability increased via a centralized database and modular backend. The administrative interface simplified data updates and configuration tasks. Conclusion: The re-engineered tala-med search engine maintains the original system's strengths while enabling greater scalability, flexibility, and future extensibility. The open-source platform offers a foundation for advancing domain-specific search systems and supports applications beyond the medical field.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381271"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145139287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systematic review of barriers and facilitators to digital health technology interventions for chronic disease management in Ethiopia: Insights for implementing digital health in developing countries. 系统审查埃塞俄比亚用于慢性病管理的数字卫生技术干预措施的障碍和促进因素：在发展中国家实施数字卫生的见解。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-18 DOI: 10.1177/14604582251381262

Jibril Bashir Adem, Anas Ali Alhur, Agmasie Damtew Walle, Daniel Niguse Mamo, Shimels Derso Kebede, Siraj Muhidin Degefa

{"title":"Systematic review of barriers and facilitators to digital health technology interventions for chronic disease management in Ethiopia: Insights for implementing digital health in developing countries.","authors":"Jibril Bashir Adem, Anas Ali Alhur, Agmasie Damtew Walle, Daniel Niguse Mamo, Shimels Derso Kebede, Siraj Muhidin Degefa","doi":"10.1177/14604582251381262","DOIUrl":"10.1177/14604582251381262","url":null,"abstract":"Introduction: Non-communicable diseases are a global health concern endangering public health as well as social and economic progress worldwide. Although Ethiopia's healthcare delivery system has seen tremendous advancements in the use of digital health technology (DHT) for disease management, no major changes have been made. Thus, this study aims to assess barriers and facilitators of DHT intervention for chronic disease management in Ethiopia. Method: A systematic review of literatures was conducted following PRISMA guidelines and using the PICOS approach. Studies were identified through PubMed, Cochrane, HINARI search and other gray literature between March and April 2024. Data was extracted and organized using a standardized Excel sheet, and a descriptive thematic analysis was performed to categorize and summarize the findings and presented in tables and diagrams. Results and conclusion: This review included 12 articles that fulfilled inclusion criteria. The review revealed barriers to DHTs such as lack of technological understanding, negative attitudes, and limited access to necessary resources and facilitators like, perceived usefulness, positive attitudes towards DHTs, and good access to necessary technological tools. This review highlights the need for promotion of facilitators and addressing barriers with targeted strategies to improve the design, implementation, scaling, and sustainability of DHTs.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381262"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An innovative X-RAG technique combined with GPT-4o for summarizing medical information from EHR and EMR to assist doctors in clinical decision-making effectively and efficiently. 创新的X-RAG技术与gpt - 40相结合，用于汇总来自EHR和EMR的医疗信息，以帮助医生有效地进行临床决策。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-17 DOI: 10.1177/14604582251381233

Jhing-Fa Wang, Che-Chuan Chang, Te-Ming Chiang, Tzu-Chun Yeh, Eric Cheng, Yuan-Teh Lee, Hong-I Chen

{"title":"An innovative X-RAG technique combined with GPT-4o for summarizing medical information from EHR and EMR to assist doctors in clinical decision-making effectively and efficiently.","authors":"Jhing-Fa Wang, Che-Chuan Chang, Te-Ming Chiang, Tzu-Chun Yeh, Eric Cheng, Yuan-Teh Lee, Hong-I Chen","doi":"10.1177/14604582251381233","DOIUrl":"https://doi.org/10.1177/14604582251381233","url":null,"abstract":"Background: Large language models (LLM) still face challenges in accurately extracting and summarizing medical information from EHR and EMR. The variability in EHR and EMR formats across institutions further complicates information integration. Moreover, doctors need to spend a lot of time reviewing patient information, which affects the efficiency and effectiveness of clinical decision-making. Objective: This study aims to develop a medical record summarization system that uses the innovative X-RAG technique with GPT-4o to extract medical information from EHR and EMR and convert them into structured FHIR format. The system ultimately generates a doctor-friendly report to improve the efficiency and effectiveness of clinical decision-making. Methods: We propose an innovative X-RAG, which adds page-based chunking, chunk filtering, and guided extraction prompting to the basic framework of RAG and combines it with GPT-4o to extract medical measurement data, diagnostic reports, and medication history records from EHR and EMR with high accuracy. Results: The system achieved 96.5% accuracy in medical data extraction and reduced approximately 40% of the time doctors spend reviewing patient information in clinical applications. Conclusion: The proposed system improves the efficiency and effectiveness of clinical decision-making and provides a valuable tool to optimize medical information management and clinical workflows.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381233"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the potential for introducing crowdsourced e-health services. 探索引入众包电子保健服务的潜力。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-07-04 DOI: 10.1177/14604582251356208

Miroslav Kendrišić, Branka Rodić, Aleksandra Labus, Milica Simić, Vukašin Despotović

{"title":"Exploring the potential for introducing crowdsourced e-health services.","authors":"Miroslav Kendrišić, Branka Rodić, Aleksandra Labus, Milica Simić, Vukašin Despotović","doi":"10.1177/14604582251356208","DOIUrl":"https://doi.org/10.1177/14604582251356208","url":null,"abstract":"The study had two primary goals: (1) to propose a methodological approach for introducing crowdsourced e-health services within healthcare institutions, and (2) to evaluate the readiness of citizens to adopt the proposed services. The proposed methodological approach addresses the essential infrastructural elements required for introducing crowdsourced e-health services, including their integration into institutional web portals and alignment with broader national digital health systems. By enabling structured citizen participation and facilitating dynamic data exchange among key stakeholders, the approach supports the modernization of healthcare service delivery. This research examined young citizens' readiness to use crowdsourced e-health services to assess the potential for adopting the proposed method. The findings indicate that perceived value is positively influenced by trust, while both perceived value and perceived behavioral control have a significant impact on the intention to contribute. This research introduces an original methodological approach tailored to support the implementation of crowdsourced e-health services within healthcare institutions. The proposed model stands out for its adaptability, as it combines communication, collaboration, crowdsourcing, and payment services within a unified structure. Its flexibility allows integration across different institutional levels, promoting citizen participation and enabling more transparent, efficient, and needs-driven healthcare delivery.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251356208"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determinants of continuous use intention of smart healthcare services: Evidence from a commitment-trust theory perspective. 智能医疗服务持续使用意愿的决定因素：来自承诺-信任理论视角的证据

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-15 DOI: 10.1177/14604582251381156

Kaifeng Liu, Qinyue Li, Da Tao

{"title":"Determinants of continuous use intention of smart healthcare services: Evidence from a commitment-trust theory perspective.","authors":"Kaifeng Liu, Qinyue Li, Da Tao","doi":"10.1177/14604582251381156","DOIUrl":"10.1177/14604582251381156","url":null,"abstract":"Objective: While smart healthcare services have shown potential in improving healthcare efficiency and effectiveness, significant barriers remain for consumers' long-term engagement in such services. The study sought to propose and validate a theoretical framework to investigate the continuous use of smart healthcare services. Methods: The research model integrates commitment-trust theory with the information system success model, empirically validated through partial least squares structural equation modeling. Data were collected via a Chinese online survey platform, targeting 355 active users of smart health services. Results: The proposed model explained 61.4% of the variance in continuous usage intention. Affective commitment, trust, and satisfaction significantly affected continuous usage intention (p's < 0.01). Trust and satisfaction were found to significantly influence affective commitment (p's < 0.001). Satisfaction and perceived value were found to be significant determinants of trust (p's < 0.05). Perceived value also significantly influenced satisfaction (p < 0.001). The relationships were also moderated by age, gender, and AI literacy. Conclusion: This study represents rare attempts to explore continuous usage intention of smart healthcare services from the commitment-trust theory perspective. Practitioners should prioritize trust-building measures (e.g., transparent data usage policies) and personalized features (e.g., adaptive health recommendations) to enhance long-term engagement. Demographic characteristics should also be considered when designing such services.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381156"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of health information on medical, dental, and long-term care costs for patients with type 2 diabetes utilizing care insurance. 使用医疗保险的2型糖尿病患者的医疗、牙科和长期护理费用对健康信息的影响

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-29 DOI: 10.1177/14604582251382033

Teppei Suzuki, Hiroshi Saito, Hisashi Enomoto, Takeshi Aoyama, Wataru Nagai, Katsuhiko Ogasawara

{"title":"Impact of health information on medical, dental, and long-term care costs for patients with type 2 diabetes utilizing care insurance.","authors":"Teppei Suzuki, Hiroshi Saito, Hisashi Enomoto, Takeshi Aoyama, Wataru Nagai, Katsuhiko Ogasawara","doi":"10.1177/14604582251382033","DOIUrl":"https://doi.org/10.1177/14604582251382033","url":null,"abstract":"Objective: With the growing burden of type 2 diabetes and its associated healthcare costs, the factors influencing future expenditures, particularly among long-term care insurance (LTCI) users, must be identified. Few studies have addressed the prediction of multiple cost domains, including medical, LTC, and dental expenditures. This study predicted medical, dental, and LTC costs in the following year for patients with type 2 diabetes and identified key predictors based on health information from the previous year. Methods: We applied three machine learning models-random forest, boosted trees, and neural networks-to LTCI users' data in Japan and incorporated prior-year healthcare costs, service usage patterns, and diabetes status. Results: In the 2019 medical cost model, boosted trees showed the best performance for those aged 74 or younger (R2 = 0.46, RMSE = 151,804 JPY). LTC costs were influenced by prior LTC spending (∼40%) and facility service use (30-50%), while dental costs were predicted by prior dental expenditures. Conclusions: Prior-year medical costs strongly influenced later medical expenditures, while LTC costs reflected prior LTC spending and facility use. These quantified relationships provide insights for healthcare cost optimization and support policymakers in designing preventive strategies and care systems for aging populations with chronic diseases.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251382033"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145193950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inadequate health professional touch in YouTube™ videos on how to administer subcutaneous immunoglobulin in immunodeficiency. 关于如何在免疫缺陷中使用皮下免疫球蛋白的YouTube™视频中缺乏卫生专业人员的接触。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-08-08 DOI: 10.1177/14604582251363538

Merve Erkoç, Gürgün Tuğçe Vural Solak, Yavuzalp Solak

引用次数: 0

Reliability of AI-generated responses on frequently-posed questions by patients with chronic kidney disease. 人工智能对慢性肾脏疾病患者常见问题的回答的可靠性

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-23 DOI: 10.1177/14604582251381996

Emi Furukawa, Tsuyoshi Okuhara, Hiroko Okada, Yuriko Nishiie, Takahiro Kiuchi

{"title":"Reliability of AI-generated responses on frequently-posed questions by patients with chronic kidney disease.","authors":"Emi Furukawa, Tsuyoshi Okuhara, Hiroko Okada, Yuriko Nishiie, Takahiro Kiuchi","doi":"10.1177/14604582251381996","DOIUrl":"https://doi.org/10.1177/14604582251381996","url":null,"abstract":"BackgroundAI tools are becoming primary information sources for patients with chronic kidney disease (CKD). However, as AI sometimes generates factual or inaccurate information, the reliability of information must be assessed.MethodsThis study assessed the AI-generated responses to frequently asked questions on CKD. We entered Japanese prompts with top CKD-related keywords into ChatGPT, Copilot, and Gemini. The Quality Analysis of Medical Artificial Intelligence (QAMAI) tool was used to evaluate the reliability of the information.ResultsWe included 207 AI responses from 23 prompts. The AI tools generated reliable information, with a median QAMAI score of 23 (interquartile range: 7) out of 30. However, information accuracy and resource availability varied (median (IQR): ChatGPT versus Copilot versus Gemini = 18 (2) versus 25 (3) versus 24 (5), p < 0.01). Among AI tools, ChatGPT provided the least accurate information and did not provide any resources.ConclusionThe quality of AI responses on CKD was generally acceptable. While most information provided was reliable and comprehensive, some information lacked accuracy and references.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381996"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance of an EMR screening tool for social determinants of health. 健康社会决定因素电子病历筛查工具的绩效。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-24 DOI: 10.1177/14604582251381237

Malik Scott, Sarthak Aggarwal, Michael Koch, Jason Strelzow, Kelly Hynes, Jeffrey G Stepan

{"title":"Performance of an EMR screening tool for social determinants of health.","authors":"Malik Scott, Sarthak Aggarwal, Michael Koch, Jason Strelzow, Kelly Hynes, Jeffrey G Stepan","doi":"10.1177/14604582251381237","DOIUrl":"https://doi.org/10.1177/14604582251381237","url":null,"abstract":"Objectives: We aimed to compare the Epic® social determinants of health (SDOH) \"wheel\" to validated SDOH questionnaires in the domains of transportation security and financial toxicity to determine its accuracy in risk stratifying patients. Methods: We enrolled patients presenting to orthopaedic clinics at an urban tertiary care center, the University of Chicago Medical Center. Patients completed two validated surveys (the COmprehensive Score for financial Toxicity (COST) questionnaire and Transportation Security Index (TSI) questionnaire) and their Epic equivalents. The sensitivity and specificity of each Epic domain was calculated using validated questionnaires as the gold-standard. Results: 203 patients completed the transportation surveys while 199 completed the financial toxicity surveys. In the domain of financial toxicity, Epic's sensitivity and specificity were 35% 53%, respectively. In the domain of transportation security, Epic's sensitivity and specificity were 53% and 94%, respectively. Conclusions: The Epic SDOH wheel demonstrated poor sensitivity in both domains studied, suggesting limitations in its ability to serve as an effective screening tool.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381237"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145139317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Informatics competency, attitudes toward evidence-based practice, and clinical decision-making skills in nurses. 信息学能力，对循证实践的态度，护士的临床决策技能。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-23 DOI: 10.1177/14604582251381145

Ahmad Salari, Seyyed Abolfazl Vagharseyyedin, Hakimeh Sabeghi

{"title":"Informatics competency, attitudes toward evidence-based practice, and clinical decision-making skills in nurses.","authors":"Ahmad Salari, Seyyed Abolfazl Vagharseyyedin, Hakimeh Sabeghi","doi":"10.1177/14604582251381145","DOIUrl":"https://doi.org/10.1177/14604582251381145","url":null,"abstract":"Background: Nurses' clinical decision-making skills are vital for ensuring safe care and achieving optimal patient outcomes. Similarly, evidence-based practice improves quality of care and standardizes nursing services. Research is needed to examine factors affecting these skills. Objective: This study examined the relationship between informatics competency, attitudes toward evidence-based practice, and clinical decision-making skills among nurses. Method: This descriptive correlational study was conducted in 2024 with 300 nurses from hospitals affiliated with Birjand University of Medical Sciences, Birjand, Iran. Data were collected using questionnaires on demographic information, informatics competency, attitudes toward evidence-based practice, and clinical decision-making skills. Data were analyzed using SPSS-25 software at a significance level of p < 0.05. Results: A significant positive correlation was found between informatics competency (and its components), clinical decision-making skills, and evidence-based practice in the studied nurses. Informatics competency predicted about 26% of the variance in clinical decision-making skills and 20% of the variance in attitudes toward evidence-based practice. Conclusion: Nurse managers should implement targeted interventions to enhance informatics competency and improve attitudes toward evidence-based practice and decision-making skills.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251381145"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0