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An analytical evaluation of Information Visualization factors for multiple Electronic Health Records

机译:多种电子病历信息可视化因素的分析评估

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Information Visualization (IV) facilitate the robust understanding and efficient utilization of multiple Electronic Health Records (EHR) by all stakeholders such as Doctors, DBA and Visual Designers. Currently all IV models and tools focus on feedback from doctors while health informatics applications involves the collaboration of multidisciplinary professionals. IV model CARE 1.0 categorizes the IV factors in knowledge, skills, assessment and future perspective. This research paper presents the analysis of three questionnaire based studies from three stakeholders doctors, DBA and visual designers involved with the visualization of multiple EHR. Statistical results of the studies emphasize the inter relationships between knowledge, skills, assessment and future perspective for stakeholders.
机译:信息可视化(IV)促进了所有利益相关者(例如医生,DBA和视觉设计师)对多种电子健康记录(EHR)的深入了解和有效利用。当前,所有的IV模型和工具都专注于医生的反馈,而健康信息学的应用则涉及多学科专业人士的协作。 IV模型CARE 1.0对知识,技能,评估和未来前景方面的IV因素进行了分类。本研究论文对来自三位利益相关者医生,DBA和涉及多个EHR可视化的视觉设计师的三份基于问卷的研究进行了分析。研究的统计结果强调了利益相关者的知识,技能,评估和未来观点之间的相互关系。

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