Enhancing maternal nutrition: The development of Doojan, a gamified mHealth app for pregnant women [0.03%]
改善孕妇营养状况：开发游戏化移动健康应用程序Doojan
Lida Moghaddam-Banaem,Rezvan Rahimi,Sabereh Ahmadi et al.
Lida Moghaddam-Banaem et al.
Background: The widespread availability of smartphones has created new opportunities for engaging pregnant women and enhancing their self-management abilities to promote maternal and fetal health through mobile interventions. This study foc...
Systematic review of machine learning applications in the early prediction and management of chronic lymphocytic leukaemia [0.03%]
机器学习在慢性淋巴细胞白血病早期预测和管理中的应用系统评价
Mohammad Al-Agil,Piers Em Patten,Anwar Alhaq
Mohammad Al-Agil
Objective: This review assesses the efficacy of machine learning (ML) models for classification and management of Chronic Lymphocytic Leukaemia (CLL).Methods: Twenty studies published between 2014 and 2023 were reviewed, focusing on supervi...
Miroslav Kendrišić,Branka Rodić,Aleksandra Labus et al.
Miroslav Kendrišić et al.
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 propo...
Minh Chuong Truong,Phuoc Luong Le,Quoc Trung Pham et al.
Minh Chuong Truong et al.
Objective: Business intelligence (BI) applications can result in higher smartness in hospitals. However, up to now, there has been a shortage of validated frameworks for assessing the smart levels of hospitals. Therefore, this study aims to...
A hybrid cloud data lake architecture supporting the integration of clinical and genomics data [0.03%]
支持临床和基因组数据集成的混合云数据湖架构
Apollo McOwiti,Heidi Dowst,Fei Zheng et al.
Apollo McOwiti et al.
Objective: Cancer centers must quickly integrate clinical genomics data from different vendors for oncology operations and research. Clinical data warehouse architectures are costly to construct and brittle, and they are not readily amenabl...
Building the foundation for immunization information system interoperability: Lessons from the Canadian context [0.03%]
加拿大免疫信息系统互联互通的启示与经验教训分析
Taylor Rubens-Augustson,Lindsay A Wilson,Cameron Bell et al.
Taylor Rubens-Augustson et al.
Introduction: Accurate, real-time immunization data is integral to the success of immunization programs. Standardized data can be aggregated, analyzed, and leveraged to conduct robust public health surveillance and inform strategic public h...
Navigating large-scale EHR implementations in public health systems: Lessons learned and recommendations from a rapid review [0.03%]
基于快速回顾的大型电子健康记录在公共卫生系统中的实施经验与建议
Louis Raymond,Aude Motulsky,Gregory Vial et al.
Louis Raymond et al.
Objective: This review systematically synthesizes empirical evidence from past NEHR initiatives to identify critical gaps between knowledge and practice and provide actionable insights for policymakers, health IT leaders, and practitioners....
Developing comprehensive hypertension ontology: Addressing data integration gaps to improve healthcare results [0.03%]
全面的高血压本体论开发：解决数据集成缺口以改善医疗保健结果
Fariya Sultana Prity,Mohammad Mahmudul Hasan,Nafiz Fahad et al.
Fariya Sultana Prity et al.
Objective: Therefore, the objective of this study was to design hypertension ontology with the aim of improving integration of data, representation of knowledge and better decision making in hypertension management. Methods: First, we perfo...
Natural language processing to describe primary care requests for eConsult specialty care: A simple and practical application [0.03%]
基于自然语言处理的电子咨询申请描述：一种简单实用的方法应用于基层医疗转诊需求分类中
Stephanie Grim,Anne Fuhlbrigge,John F Thomas et al.
Stephanie Grim et al.
Objective: Free text fields embedded within electronic consultation (eConsult) orders serve as rich sources of descriptive information regarding common uses of this novel telehealth technology. Simple text mining and language processing may...
Development and usability of a mobile artificial intelligence platform for the management of childhood developmental disorders based on PHRs [0.03%]
基于PHR的儿童发育障碍移动人工智能管理平台的研发及应用研究
Eun Kyung Choi,Haemi Choi,Jungun Kim et al.
Eun Kyung Choi et al.
Introduction: Emerging technologies, particularly artificial intelligence (AI), offer the potential to personalize healthcare for pediatric developmental disorders, but their development presents challenges. Methods: This study introduces I...