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Just in Time Radiology Decision Support Using Real-time Data Feeds

  • John L. BurnsEmail author
  • Dan Hasting
  • Judy W. Gichoya
  • Ben McKibbenIII
  • Lindsey Shea
  • Mark Frank
Original Paper
  • 27 Downloads

Abstract

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.

Keywords

Radiology dashboard Real-time productivity Pipeline Decision support Hl7 

Notes

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Copyright information

© Society for Imaging Informatics in Medicine 2019

Authors and Affiliations

  1. 1.Indiana University School of MedicineIndianapolisUSA
  2. 2.Dotter InstituteOregon Health & Science UniversityPortlandUSA

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