User satisfaction and the readiness-to-use e-health applications in the future in Polish society in the early phase of the COVID-19 pandemic: A cross-sectional study [0.03%]
疫情期间波兰社会使用电子医疗应用的意愿和用户满意度的一项横断面研究
Mariusz Duplaga,Natalia Turosz
Mariusz Duplaga
Introduction: The COVID-19 pandemic resulted in the rapid expansion of e-health services in Poland. The main aim of the study was to assess the determinants of user satisfaction and the readiness-to-use e-health applicati...
Maryam Ahmadi,Abbas Sheikhtaheri,Foziyeh Tahmasbi et al.
Maryam Ahmadi et al.
Introduction: The job expectations and professional competencies required by health information management (HIM) students/graduates are constantly changing and workforce development requires curricula in line with new eme...
Policies to regulate data sharing of cohorts via data infrastructures: An interview study with funding agencies [0.03%]
通过数据基础设施规范队列数据共享的政策：对资助机构的访谈研究
Thijs Devriendt,Mahsa Shabani,Pascal Borry
Thijs Devriendt
Background: Platforms are being constructed to stimulate cohort data sharing. Nevertheless, many policy barriers impede data sharing. Various interventions have been proposed to address these barriers, including incentive...
Creation of a core competency framework for clinical informatics: From genesis to maintaining relevance [0.03%]
临床信息学核心能力框架的创建：从起源到保持相关性
Alan Davies,Alan Hassey,John Williams et al.
Alan Davies et al.
Background: The United Kingdom's Faculty of Clinical Informatics (FCI) embarked on the creation of a core competency framework in response to the need to provide support to those working in clinical and health and social ...
Combining gain-loss frame and background color to increase the effectiveness of online oral health messages: Differences among decision stages [0.03%]
结合损益框架和背景颜色增加在线口腔健康信息的有效性：不同决策阶段的差异
Tingting Jiang,Qian Guo,Xi Wu et al.
Tingting Jiang et al.
Background: Gain-loss framing is one of the most popular verbal techniques for increasing message persuasiveness. Color is believed to be a compelling visual cue for persuasion purposes. The verbal and visual elements of ...
Assessing data gathering of chatbot based symptom checkers - a clinical vignettes study [0.03%]
基于聊天机器人的症状检查器的数据收集评估——一项临床案例研究
Niv Ben-Shabat,Gal Sharvit,Ben Meimis et al.
Niv Ben-Shabat et al.
Background: The burden on healthcare systems is mounting continuously owing to population growth and aging, overuse of medical services, and the recent COVID-19 pandemic. This overload is also causing reduced healthcare q...
Ambulance dispatch prioritisation for traffic crashes using machine learning: A natural language approach [0.03%]
基于机器学习的救护车调度优先级处理交通事故的自然语言方法研究
Ellen Ceklic,Stephen Ball,Judith Finn et al.
Ellen Ceklic et al.
Introduction: Demand for emergency ambulances is increasing, therefore it is important that ambulance dispatch is prioritised appropriately. This means accurately identifying which incidents require a lights and sirens (L...
An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer [0.03%]
一种用于分析咽癌风险的解释性机器学习预后系统
Rasheed Omobolaji Alabi,Alhadi Almangush,Mohammed Elmusrati et al.
Rasheed Omobolaji Alabi et al.
Background: The optimal management of oropharyngeal squamous cell carcinoma (OPSCC) includes both surgical and non-surgical, that is, (chemo)radiotherapy treatment options and their combinations. These approaches carry a ...
General Practitioners' needs and wishes for clinical decision support Systems: A focus group study [0.03%]
基于焦点小组的研究：全科医师对临床决策支持系统的需求和愿望
Leonie Westerbeek,Gert-Jan de Bruijn,Henk C van Weert et al.
Leonie Westerbeek et al.
Background: Shared decision making (SDM) can be beneficial for patients, healthcare professionals, but is often not applied in practice. A clinical decision support system (CDSS) can facilitate SDM. However, CDSS acceptan...
Evaluation of an automated Presidio anonymisation model for unstructured radiation oncology electronic medical records in an Australian setting [0.03%]
在澳大利亚环境下评估未结构化放射肿瘤学电子医疗记录的自动Presidio脱敏模型的效果
Damian P Kotevski,Robert I Smee,Matthew Field et al.
Damian P Kotevski et al.
Background: Electronic medical records (EMRs) contain valuable information for clinical research, however, the presence of personally identifying information (PII) restricts their use. Anonymisation of PII from EMRs enabl...