EPMA-related contributory factors to medication errors: development of a taxonomy to inform the optimisation strategy for an electronic patient record [0.03%]
与用药错误有关的EPMA相关因素：开发分类法以告知电子患者记录优化策略的制定
Eileen C Relihan,Sinead M Kelly
Eileen C Relihan
Background: Optimisation of a hospital's electronic prescribing and medication administration (EPMA) system requires a process of iterative refinement based on real world user experience. One source of this information is...
Lifting the wellbeing of adolescents and young adults with type 1 diabetes: A feasibility study of the LIFT app [0.03%]
提升1型糖尿病青少年和年轻人身心健康的应用程序(LIFT)可行性研究
Anna Serlachius,Joanna McClintock,Anna Boggiss et al.
Anna Serlachius et al.
Background: Adolescents and young adults (AYAs) with type 1 diabetes (T1D) have an increased risk of psychological distress. To address this, psychological support provided asynchronously via an app may be feasible. Our s...
Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden [0.03%]
利用人工智能和医学专家识别南方瑞典急诊成人呼吸困难患者的常见诊断预测因子：一项横断面研究
Ellen T Heyman,Awais Ashfaq,Ulf Ekelund et al.
Ellen T Heyman et al.
Objective: Half of all adult emergency department (ED) visits with a complaint of dyspnea involve acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), or pneumonia, which are often mis...
Show and tell: A critical review on robustness and uncertainty for a more responsible medical AI [0.03%]
寓知于行——医学人工智能之鲁棒性和不确定性的批判性评述
Luca Marconi,Federico Cabitza
Luca Marconi
This critical review explores two interrelated trends: the rapid increase in studies on machine learning (ML) applications within health informatics and the growing concerns about the reproducibility of these applications across different h...
Digital applications to support self-management of multimorbidity: A scoping review [0.03%]
用于支持多病共存的自我管理的数字应用程序：系统评价
Lucy Smith,Glenn Simpson,Sian Holt et al.
Lucy Smith et al.
Introduction: Multimorbidity, defined as the co-occurrence of two or more long-term conditions, is increasing rapidly and poses challenges for healthcare systems. Advances in digital technologies offer solutions by facili...
Validating the information technology (IT) implementation framework to Implement mHealth technology for consumers: A case study of the Sense2Quit app for smoking cessation [0.03%]
实施面向消费者的移动卫生技术的 IT 实施框架验证——以一款戒烟应用（Sense2Quit）为例
Maeve Brin,Sydney Fontalvo,David Hu et al.
Maeve Brin et al.
Objective: The goal of this paper was to understand the applicability of the Information Technology (IT) Implementation Framework, a multi-level approach to identify factors that impede or promote IT usage, for incorporat...
Measuring information technology expenditures of hospitals for cross-institutional comparisons: A scoping review [0.03%]
医院信息技术支出的测量方法及其机构间比较：系统综述
Luka Leon Reincke,Jan-David Liebe
Luka Leon Reincke
Background: Information technology (IT) expenditure is a structural prerequisite for digital transformation in hospitals. Despite increasing research into the level of digital maturity and increased political initiatives ...
Performance of multimodal prediction models for intracerebral hemorrhage outcomes using real-world data [0.03%]
真实世界数据支持的颅内出血预后多模态预测模型的性能分析
Koutarou Matsumoto,Masahiro Suzuki,Kazuaki Ishihara et al.
Koutarou Matsumoto et al.
Background: We aimed to develop and validate multimodal models integrating computed tomography (CT) images, text and tabular clinical data to predict poor functional outcomes and in-hospital mortality in patients with int...
The accuracy of Machine learning in the prediction and diagnosis of diabetic kidney Disease: A systematic review and Meta-Analysis [0.03%]
机器学习在糖尿病肾脏疾病预测和诊断中的准确性：系统回顾和meta分析
Changmao Dai,Xiaolan Sun,Jia Xu et al.
Changmao Dai et al.
Purpose: Machine learning (ML) has gained attention in diabetes management, particularly for predicting and diagnosing diabetic kidney disease (DKD). However, systematic evidence on its performance remains limited. This s...
Investigating the impact of sociodemographic factors on training efficacy and its correlation with technology usability in older adults: Lessons learned in Italian and Murcian pilots [0.03%]
探讨社会人口因素对培训效果的影响及其与老年人技术易用性相关性的关联：意大利和穆尔西亚试点的经验教训
Laura Fiorini,Jasmine Pani,Erika Rovini et al.
Laura Fiorini et al.
Introduction: Technology training supports technology adoption among older adults. However, guidelines and insights into personal and sociodemographic factors affecting its effectiveness are lacking. This study explores h...