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VIEWER:一个可扩展的视觉分析框架,用于增强心理健康护理

Tao Wang¹, David Codling², Yamiko Joseph Msosa¹

¹Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom.

Journal of the American Medical Informatics Association : JAMIA

|January 23, 2025

概括

视觉和互动参与电子记录 (VIEWER) 工具包增强了临床数据分析,提高了任务完成速度和用户满意度. 该系统为更好的医疗信息学和患者护理提供了具有成本效益的解决方案.

科学领域:

医疗信息学医疗信息学
临床数据可视化
人与计算机的交互

背景情况:

标准的临床信息系统往往缺乏用于可视化和与复杂的患者数据互动的高级功能.
有效的临床数据分析对于改善患者监测和人口健康管理至关重要.

研究的目的:

设计,实施和评估视觉和互动参与电子记录 (VIEWER),一个开源工具包用于临床数据可视化.
评估VIEWER在改善临床信息的检索,分析和可视化方面的有效性.

主要方法:

利用自然语言处理和交互式可视化技术用于VIEWER开发.
在一个大型的英国国家卫生服务心理健康信托机构中采用了协作式,参与式的设计方法.
使用定量和定性方法评估临床效用和有效性,超过1000名用户.

主要成果:

VIEWER提供了来自结构化和非结构化来源的纵向患者数据 (n=409,870) 的交互式,全面的视图.
与标准系统相比,显著提高了性能和任务完成速度,尽管采用时间短.
用户报告高满意度和强烈的兴趣在整合VIEWER在日常实践.

结论:

VIEWER 作为标准临床信息系统的成本效益提升,改善数据的可访问性和表示性.
像VIEWER这样的医疗信息解决方案的协作改进是优化患者护理的关键.
该工具包支持各种医疗保健应用,包括人口健康管理和患者监测.

关键词:

电子健康记录电子健康记录医疗信息学健康信息学心理健康心理健康自然语言处理自然语言处理.视觉分析视觉分析

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