University of Virginia, Charlottesville, VA, USA.
J Digit Imaging. 2018 Oct;31(5):640-645. doi: 10.1007/s10278-018-0065-z.
Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. This software provides imaging study decision support for referring providers at the point of order entry. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. This allowed for real-time visualization of the data generated by the decision support software. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts.
由于最近法规的要求，临床决策支持 (CDS) 软件正在全美各地的放射科实践中采用。该软件为在订单录入时的转诊提供者提供影像学研究决策支持。CDS 系统产生大量数据，为研究和质量改进提供了机会。为了更好地可视化和分析这些数据中的趋势，使用商业可用的数据可视化平台创建了一个交互式数据可视化仪表板。在将商业临床决策支持产品集成到电子健康记录后，使用商业可用的数据可视化平台（西雅图的 Tableau）创建了一个仪表板。CDS 生成的数据从数据仓库中导出，存储在平台中。这允许实时可视化决策支持软件生成的数据。仪表板的创建使得更容易分析 CDS 平台的输出，并促进假设的产生。将数据可视化工具集成到临床决策支持工具中可以更轻松地进行数据分析，并可以简化研究和质量改进工作。
