连接医疗团队沟通与患者结局的可视化分析设计
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes
AI总结：
本文提出一个可视化分析系统，通过将EHR访问日志构建的时间沟通网络测度与患者生存结局关联以设计有效性指标，并提取访问延迟和频率分析沟通效率，经案例研究和专家评审验证。
摘要：
医疗专业人员（HCPs）之间的沟通对于患者治疗质量至关重要。围绕每位患者的治疗，HCPs之间的沟通可以作为时间网络进行检查，该网络由电子健康记录（EHR）访问日志构建。本文介绍了一个可视化分析系统，旨在研究由EHR系统介导的时间沟通网络的有效性和效率。我们提出了一种将网络测度与患者生存结局相关联的方法，并基于这些关联设计了有效性指标。为了分析沟通效率，我们提取了EHR访问的延迟和频率。我们的可视化分析系统旨在协助检查和理解组合的沟通有效性指标，并通过在信息流图中编码延迟和频率来实现对沟通效率的探索。我们通过多个案例研究和专家评审展示并评估了我们的系统。
英文摘要：
Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment. Surrounding each patient's treatment, communication among HCPs can be examined as temporal networks, constructed from Electronic Health Record (EHR) access logs. This paper introduces a visual analytics system designed to study the effectiveness and efficiency of temporal communication networks mediated by the EHR system. We present a method that associates network measures with patient survival outcomes and devises effectiveness metrics based on these associations. To analyze communication efficiency, we extract the latencies and frequencies of EHR accesses. Our visual analytics system is designed to assist in inspecting and understanding the composed communication effectiveness metrics and to enable the exploration of communication efficiency by encoding latencies and frequencies in an information flow diagram. We demonstrate and evaluate our system through multiple case studies and an expert review.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
