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Radiology Service

A service from the RADS2 team

A Radiology Service for Processing Pipelines

The RADS2 team has provided support to Radiology through creating a pipeline for the delivery of EHR data. The data made available by the RADS2 team is used by the Niffler framework. This data is retrieved from the Cerner database and stored locally in the RTA Oracle database. The Radiology group periodically (set at every 30 minutes) acquires labs, orders, and medications from the local RTA database through REST APIs developed by the RADS2 team. 

Niffler is a lightweight framework to facilitate executing machine learning pipelines and processing workflows on DICOM images and metadata. Niffler facilitates efficient transfer of DICOM images on-demand and real-time from PACS to the research environments. Niffler is also integrated with the radiology information system (RIS) to get clinical data in real-time. The DICOM images from the PACS and clinical data retrieved from the RIS can be used in conjunction in real-time as well as retrospectively on-demand.

The RTA team has implemented the middleware deployment depicted in the figure, together with the Emory Radiology.

  • Clinical data (labs, orders, and medications) acquired from the RIS via a database link.
  • Integration with the PACS data at the research cluster.
  • The data is deleted nightly at the research cluster after the processing workflows are executed.

Several pilot studies have been ongoing and completed, including an IVC filter detection and scanner utilization computation, as part of the Niffler workflows using PACS and RIS data.

Design and Implementation

Emory Real-time Analytics, Data Science and Decision Support (RADS2)
  • Clinical Trials
    • ACTIV-6 Trials
    • RECOVER
    • Surgery
    • Radiology Service
    • Vaccine Trial
  • Clinical Decision Support
    • Early Warning and Decompensation
    • Sepsis Prediction
    • Unplanned ED Admission (UEDA)
    • eARDS
  • Clinical Operations
    • COVID-19 Patient Care Dashboard
    • Health Equity Data Sandbox
    • Mechanical Ventilation
    • CRRT
  • Team

Stakeholders

Judy Wawira Gichoya MD, MS
Department of Radiology
Assistant Professor

Dr. Gichoya is a multidisciplinary researcher, trained as both an informatician and an Interventional radiologist.

Judy Wawira Gichoya

Hari M. Trivedi MD
Department of Radiology and Imaging Services
Assistant Professor

Dr. Trivedi's research interest is in the application of machine learning (artificial intelligence) to solve problems in radiology, most recently developing algorithms to improve breast cancer screening.

Hari M. Trivedi

Nabile M Safdar
Emory Healthcare Network
Associate Professor

Nabile M. Safdar, MD, MPH believes that technology can be leveraged to continuously improve the quality of health care delivery and communication. This belief motivates his work as Director of the Division of Imaging Informatics.

Nabile M Safdar
Emory University Homepage

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