Ready access to relevant real-time information in medical imaging offers several potential benefits. Knowing both when important information will be available and that important information is available can facilitate optimization of workflow and management of time. Unexpected findings, as well as deficiencies in reporting and documentation, can be immediately managed. Herein, we present our experience developing and implementing a real-time web-centric dashboard system for radiologists, clinicians, and support staff. The dashboards are driven by multi-sourced HL7 message streams that are monitored, analyzed, aggregated, and transformed into multiple real-time displays to improve operations within our department. We call this framework Pipeline. Ruby on Rails, JavaScript, HTML, and SQL serve as the foundations of the Pipeline application. HL7 messages are processed in real-time by a Mirth interface engine which posts exam data into SQL. Users utilize web browsers to visit the Ruby on Rails-based dashboards on any device connected to our hospital network. The dashboards will automatically refresh every 30 seconds using JavaScript. The Pipeline application has been well received by clinicians and radiologists.

中文翻译：

---

使用实时数据源的及时放射学决策支持。

随时访问医学成像中的相关实时信息可带来多种潜在好处。知道何时可以获取重要信息和何时可以获取重要信息可以促进工作流程的优化和时间的管理。意外的发现以及报告和文档中的缺陷可以立即得到处理。在此，我们将介绍我们为放射科医生，临床医生和支持人员开发和实施以网络为中心的实时仪表板系统的经验。仪表板由多源HL7消息流驱动，这些消息流受到监视，分析，汇总并转换为多个实时显示，以改善我们部门内的运营。我们称此框架为管道。Ruby on Rails，JavaScript，HTML和SQL充当Pipeline应用程序的基础。HL7消息由Mirth接口引擎实时处理，该接口引擎将检查数据发布到SQL中。用户可以使用Web浏览器在连接到我们医院网络的任何设备上访问基于Ruby on Rails的仪表板。仪表板将使用JavaScript每30秒自动刷新一次。流水线应用程序已得到临床医生和放射科医生的好评。