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

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 d...

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Bibliographic Details
Published in:Journal of digital imaging 2020-02, Vol.33 (1), p.137-142
Main Authors: Burns, John L., Hasting, Dan, Gichoya, Judy W., McKibben, Ben, Shea, Lindsey, Frank, Mark
Format: Article
Language:English
Subjects:
Dashboards
Imaging
Just in time
Medical imaging
Medicine
Medicine & Public Health
Optimization
Original Paper
Pipelines
Query languages
Radiology
Rails
Real time
Workflow
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Summary: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.
ISSN:0897-1889
1618-727X
DOI:10.1007/s10278-019-00268-2