Cost-effectiveness of Artificial Intelligence applications in healthcare: A systematic review [0.03%]
医疗保健领域人工智能应用的成本效益：系统性综述
Ali Imani,Elham Monaghesh
Ali Imani
ObjectiveWith increasing emphasis on value-based healthcare and rising costs, it is essential to assess the economic impact of artificial intelligence (AI). This study systematically reviews the evidence on the cost-effectiveness of AI appl...
Nursing role and practice integration in telemedicine models for systemic lupus erythematosus a scoping review [0.03%]
系统性红斑狼疮远程医疗模型中的护理作用和实践整合：综述研究
Qiuying Jiang,Yamei Chen,Yin Gu et al.
Qiuying Jiang et al.
This review systematically analyzed the existing evidence regarding the integration of telemedicine into nursing roles and practices for managing patients with systemic lupus erythematosus (SLE). The conduct and reporting of this scoping re...
Development and formative usability evaluation of a user-centered mobile application for COPD self-management [0.03%]
以用户为中心的慢性阻塞性肺疾病自我管理手机应用的研发和形成性可用性评估
Guofang Tao,Su Yang,Luqing Gao et al.
Guofang Tao et al.
BackgroundChronic Obstructive Pulmonary Disease (COPD) is a globally burdensome chronic disease characterized by persistent respiratory symptoms and progressive airflow limitation, which severely impairs patients' quality of life and progno...
Reflective openEHR-to-FHIR: Java class-based generator for transforming openEHR compositions to fast healthcase interoperability resources (FHIR) bundles [0.03%]
基于Java类的生成器反射式地将openEHR构作转换为快速健康信息互操作性资源(FHIR)包
Nektarios Ladas,Stefan Franz,Alina Rehberg et al.
Nektarios Ladas et al.
BackgroundAt our hospital's university, the data integration center (DIC) has the primary task of importing data from various systems, including unstructured medical reports and structured laboratory data into the openEHR data repository. A...
Evaluation of large language models in a national orthopaedic proficiency examination: Implications for health informatics and medical education [0.03%]
大型语言模型在国家级骨科执业资格考试中的评估：对健康信息学和医学教育的启示
Bünyamin Arı
Bünyamin Arı
ObjectiveThis study evaluates the performance of large language models (LLMs)-ChatGPT-4.0, Gemini 2.0 Pro, o3-mini, Doctor GPT and DeepSeek-V3-in a national orthopaedic proficiency examination and explores their implications for health info...
Evaluation of the large language models Chatbot's responses to frequently asked queries on refractive errors [0.03%]
评估大型语言模型聊天机器人对屈光不正常见问题的回答质量
Sare Safi,Amir Golmakani,Saeed Rahmani et al.
Sare Safi et al.
PurposeTo assess the accuracy, comprehensiveness, and reliability of Large Language Model chatbots in answering frequently asked questions about refractive errors.MethodsForty-four questions about refractive errors were posed to four chatbo...
Evaluating the quality and reliability of inflammatory bowel disease-related short videos on BiliBili and TikTok: A cross-sectional study [0.03%]
一项横断面研究：评估哔哩哔哩和抖音平台上炎症性肠病相关短视频的质量和可靠性
Bowen Cheng,Xiaoyan Chen,Wenjie Shi et al.
Bowen Cheng et al.
BackgroundInflammatory Bowel Disease (IBD) is a chronic condition with increasing global prevalence. Short-video platforms like TikTok and Bilibili are popular health information sources, but their IBD-related content quality remains uncert...
Characteristics of adverse events following immunization reporting systems: A scoping review [0.03%]
免疫接种后事件报告系统特征的范畴综述
Hassan Asadi,Haleh Ayatollahi,Seyed Mohsen Zahraei et al.
Hassan Asadi et al.
ObjectiveThis study aimed to identify characteristics of adverse events following immunization (AEFI) reporting systems and vaccine adverse events reporting systems (VAERS) including technical platforms, user groups, data elements, function...
Integrating artificial intelligence into surgical nursing workflows: Evaluation of an image-based Instrument verification system [0.03%]
基于图像的器械核查系统在手术室的应用与评估
Zu-Chun Lin,Hui-Chien Hung,Malcolm Koo et al.
Zu-Chun Lin et al.
ObjectiveThis study compared an image-based, artificial intelligence-driven instrument recognition and inventory system (AI-IRIS) with conventional manual counting (CMC) for postoperative instrument management in simulated settings.MethodsU...
Solving patient scheduling problems in hospitals using a dedicated GenAI system [0.03%]
使用专用GenAI系统解决医院患者调度问题
Tin-Chih Toly Chen,Min-Chi Chiu,Hsin-Chieh Wu
Tin-Chih Toly Chen
ObjectivesPatient scheduling is a vital yet complex task that strongly influences patient satisfaction and optimizes healthcare efficiency. Recent studies have emphasized the importance of devising innovative approaches and developing new s...