可解释性
可用性
医学
知识管理
护理部
人口
知识翻译
医疗保健
数字健康
服务(商务)
情境伦理学
患者体验
结果(博弈论)
应用心理学
医学教育
心理学
健康素养
人口健康
综合数据
可视化
心理干预
电子健康
健康信息学
服务提供商
健康
工作(物理)
卫生服务
数据科学
卫生公平
数据可视化
过程管理
梅德林
定性研究
计算机科学
服务交付框架
人力资源
生殖健康
集合(抽象数据类型)
作者
Amanda L. Joseph,Bilikis Oladimeji,Helen Monkman,Simon Minshall,Melissa C Tan,Yuri Quintana
摘要
The VCE diagram bridges micro-level patient experiences with macro-level population data, holding promise to enhance service evaluation, delivery, and design, and improve health care outcomes. The VCE diagram provides a replicable framework for data visualization that highlights systemic disparities often hidden in aggregate data. Moreover, the availability of structured human experience and service outcome data can provide robust context-specific and situational data to foster a culture of organizational learning and continuous improvement via an LHS. The LHS's knowledge translation loops provide a conduit to improve patient experiences and reduce morbidity and mortality across populations and health systems. Future work will include usability testing across diverse audiences to assess interpretability and refine applications in LHSs.
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