A complex ePrescribing antimicrobial stewardship-based (ePAMS+) intervention for hospitals: mixed-methods feasibility trial results [0.03%]
基于复杂抗菌药物管理的电子处方干预措施（ePAMS+）在医院中的混合方法可行性试验结果
Christopher J Weir,Susan Hinder,Imad Adamestam et al.
Christopher J Weir et al.
Background: Antibiotic resistant infections cause over 700,000 deaths worldwide annually. As antimicrobial stewardship (AMS) helps minimise the emergence of antibiotic resistance resulting from inappropriate use of antibi...
Strategy for scheduled downtime of hospital information system utilizing third-party applications [0.03%]
利用第三方应用程序管理医院信息系统计划内停机的策略
Inhae Jo,Woojin Kim,Younghee Lim et al.
Inhae Jo et al.
Background: The widespread adoption of Hospital Information Systems (HIS) has brought significant benefits in healthcare quality and workflow efficiency. However, downtimes for system maintenance are inevitable and pose a...
Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review [0.03%]
机器学习在移民及少数族裔心理健康研究中的应用：一项探索性综述研究
Khushbu Khatri Park,Mohammad Saleem,Mohammed Ali Al-Garadi et al.
Khushbu Khatri Park et al.
Background: The use of machine learning (ML) in mental health (MH) research is increasing, especially as new, more complex data types become available to analyze. By examining the published literature, this review aims to...
Proposed framework for medication delivery system in the Jordanian public health sector [0.03%]
约旦公共卫生部门的药物配送系统建议框架
Ayah Elshebli,Ghaleb Sweis,Ahmad Sharaf et al.
Ayah Elshebli et al.
Background: In Jordan, the confluence of traffic congestion and overcrowding in public hospitals poses a significant challenge for patients to collect their medications timely. This challenge was further intensified durin...
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks [0.03%]
基于时序分析和图神经网络的卵巢癌生存预测方法
G S Pradeep Ghantasala,Kumar Dilip,Pellakuri Vidyullatha et al.
G S Pradeep Ghantasala et al.
Ovarian cancer is a formidable health challenge that demands accurate and timely survival predictions to guide clinical interventions. Existing methods, while commendable, suffer from limitations in harnessing the temporal evolution of pati...
Large-scale identification of social and behavioral determinants of health from clinical notes: comparison of Latent Semantic Indexing and Generative Pretrained Transformer (GPT) models [0.03%]
基于临床注释的大规模识别社会和行为健康决定因素：潜在语义索引与生成性预训练变压器模型的比较
Sujoy Roy,Shane Morrell,Lili Zhao et al.
Sujoy Roy et al.
Background: Social and behavioral determinants of health (SBDH) are associated with a variety of health and utilization outcomes, yet these factors are not routinely documented in the structured fields of electronic healt...
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times [0.03%]
优化急诊科效率：采用过程挖掘和模拟模型比较分析以缓解拥挤和等待时间
Fereshteh Davari,Mehdi Nasr Isfahani,Arezoo Atighechian et al.
Fereshteh Davari et al.
Objective: Overcrowding and extended waiting times in emergency departments are a pervasive issue, leading to patient dissatisfaction. This study aims to compare the efficacy of two process mining and simulation models in...
Application of Alfalfa App in the management of oral anticoagulation in patients with atrial fibrillation: a multicenter randomized controlled trial [0.03%]
用于房颤患者口服抗凝管理的苜蓿App应用：多中心随机对照试验
Wenlin Xu,Xinhai Huang,Qiwang Lin et al.
Wenlin Xu et al.
Background: In recent years, mobile medical technology has made great progress in chronic disease management, but its application in patients with atrial fibrillation (AF) still needs to be clarified. ...
Randomized Controlled Trial
BMC medical informatics and decision making. 2024 Oct 9;24(1):294. DOI:10.1186/s12911-024-02701-1 2024
Forecasting severe respiratory disease hospitalizations using machine learning algorithms [0.03%]
基于机器学习算法的严重呼吸道疾病住院预测
Steffen Albrecht,David Broderick,Katharina Dost et al.
Steffen Albrecht et al.
Background: Forecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospit...
New experience of implementing patient e-referral in the Iranian health system: a qualitative study [0.03%]
伊朗卫生系统实施患者电子转诊的新体验：质性研究
Ali Vafaee-Najar,Elaheh Hooshmand,Arefeh Pourtaleb et al.
Ali Vafaee-Najar et al.
Background: Implementing an electronic system of service categorization and a referral system in healthcare is a strategic approach to improving overall health outcomes and optimizing resource use. This study aimed to inv...