Effects of a bidirectional interoperability between electronic health records and smart infusion pumps in hospital settings: a systematic review [0.03%]
电子健康记录和智能输液泵双向交互操作性在医院环境中的影响：一项系统综述
Sini Kuitunen,Bruna L Alves,Hanna Peitsoma et al.
Sini Kuitunen et al.
Objectives: To explore the effects of bidirectional interoperability between electronic health records (EHR) and smart infusion pumps on medication errors (MEs), system compliance and workflow efficiency and economic aspe...
Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation [0.03%]
启用初级保健中的数字多因素风险评估：综述及设计和实施建议
Lily C Taylor,Niels Peek,Ari Ercole et al.
Lily C Taylor et al.
Objectives: To develop recommendations to inform development and integration of predictive digital health and artificial intelligence tools in primary care. ...
Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims [0.03%]
基于行政索赔的机器学习框架用于早期识别高支出克罗恩病患者
Lukasz S Wylezinski,Jamieson D Gray,Charles F Spurlock rd
Lukasz S Wylezinski
Objectives: To develop and evaluate a machine learning (ML) model that predicts Crohn's disease (CD) patients responsible for the top quartile of healthcare spending. ...
Adoption, barriers and opportunities of interoperability and eHealth standards in Africa: a scoping review [0.03%]
非洲互操作性和电子健康标准的应用、障碍和机遇的综述性研究
Success Kamuhanda,Rebecca Melisa Nakitandwe,Dafala Kezimbira et al.
Success Kamuhanda et al.
Objectives: Interoperability, the seamless exchange and use of data across digital health systems, is essential for integrated, efficient healthcare delivery. However, evidence on its adoption in Africa remains limited an...
Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset [0.03%]
基于MIMIC-III数据集的医学死亡率预测的可解释人工智能方法研究
Niusha Shafiabady,Dave Akume,Mohammadreza Haghighat et al.
Niusha Shafiabady et al.
Objectives: Predicting mortality is vital for tailoring treatments, improving care and reducing costs. Machine learning (ML) has shown strong potential, often outperforming traditional severity-of-illness scoring systems ...
Longitudinal multisource clinical model for early lung cancer risk stratification and screening [0.03%]
纵向多源临床模型用于早期肺癌风险分层和筛查
Chia-Hui Chien,Shih-Chuan Chang,Yung-Chun Chang et al.
Chia-Hui Chien et al.
Objectives: Lung cancer is the leading cause of cancer-related mortality worldwide, with poor prognosis largely due to late-stage diagnosis. Current screening methods such as low-dose CT face accessibility and cost barrie...
Bringing AI to the OR: integrating a machine learning predictive model in the EHR - a pilot on user-friendliness [0.03%]
将AI引入手术室：在电子健康记录系统中整合一种机器学习预测模型的便捷性试点研究
Sara Ben Hmido,Ewout Ingwersen,Houssam Abder Rahim et al.
Sara Ben Hmido et al.
Objectives: Evaluate the technical integration and usability of an intraoperative predictive machine learning model for colorectal anastomotic leakage within the Epic electronic health records (EHRs) at a single academic ...
Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks [0.03%]
医疗保健领域人工智能翻译：急需证据信息政策框架
Chukwuebuka Anyaegbuna,Natasha Steele,April Shichu Liang et al.
Chukwuebuka Anyaegbuna et al.
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behind clinical practice. Recent data reveal that 57% of US physicians are already using or pl...
By the book or beyond? Lessons on implementation fidelity in remote patient monitoring within a hybrid hospital-at-home feasibility study [0.03%]
按部就班还是突破常规？远程患者监测在混合型医院居家护理可行性研究中的实施忠实度启示
Tatjana Sandreva Dreisig,Maria Larsen,Charlotte von Sydow et al.
Tatjana Sandreva Dreisig et al.
Objectives: Hybrid hospital-at-home (HaH) models, combining remote patient monitoring (RPM) with home visits, offer an alternative to inpatient care. Yet, evidence on how RPM is delivered is limited. This paper reports a ...
Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network [0.03%]
基于多通道卷积神经网络的纵向医疗记录女性肿瘤早期检测方法研究
Chia-Hui Chien,Shih-Chuan Chang,Yung-Chun Chang et al.
Chia-Hui Chien et al.
Objectives: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, particularly for ovarian and endometrial cancers where effective population...