Jawa Randeep S, Tharakan Mathew A, Tsai Chaowei, Garcia Victor L, Vosswinkel James A, Rutigliano Daniel N, Rubano Jerry A
Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Stony Brook University Hospital, Stony Brook, New York, USA.
Department of Medicine, Stony Brook University Hospital, Stony Brook, New York, USA.
JAMIA Open. 2020 Dec 5;3(4):518-522. doi: 10.1093/jamiaopen/ooaa054. eCollection 2020 Dec.
We develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of the COVID-19 pandemic.
Data visualization software is used to display information from critical care data mart that extracts information from the EHR. A multidisciplinary collaborative led the development.
The dashboard displays institution-level ventilator utilization details, as well as patient-level details such as ventilator settings, organ-system specific parameters, laboratory values, and infusions.
Components of the dashboard were selected to facilitate the determination of resources and simultaneous assessment of multiple patients. Abnormal values are color coded. An overall illness assessment score is tracked daily to capture illness severity over time.
This reference guide shares the architecture and sample reusable code to implement a robust, flexible, and scalable dashboard for monitoring ventilator utilization and illness severity in intensive care unit ventilated patients.
我们开发了一个仪表板,利用电子健康记录(EHR)数据来监测重症监护病房患者的状况以及在COVID-19大流行背景下的呼吸机使用情况。
使用数据可视化软件来显示来自重症监护数据集市的信息,该集市从电子健康记录中提取信息。一个多学科协作团队主导了开发工作。
该仪表板显示机构层面的呼吸机使用详细信息,以及患者层面的详细信息,如呼吸机设置、特定器官系统参数、实验室值和输液情况。
仪表板的组件经过挑选,以方便确定资源并同时评估多名患者。异常值采用颜色编码。每天跟踪总体疾病评估分数,以记录随时间变化的疾病严重程度。
本参考指南分享了架构和示例可重用代码,以实现一个强大、灵活且可扩展的仪表板,用于监测重症监护病房使用呼吸机患者的呼吸机使用情况和疾病严重程度。