Developing Deeper Radiology Exam Insight to Optimize MRI Workflow and Patient Experience

  • Ish A. Talati
  • Pranay Krishnan
  • Ross W. FiliceEmail author


Process variability during the acquisition of magnetic resonance imaging (MRI) can lengthen examination times and introduce unexpected exam differences which can negatively impact the cost and quality of care provided to patients. Digital Imaging and Communications in Medicine (DICOM) metadata can provide more accurate study data and granular series-level information that can be used to increase operational efficiency, optimize patient care, and reduce costs associated with MRI examinations. Systematic use of such data analysis could be used as a continuous operational optimization and quality control mechanism.


Analytics Workflow Operations Quality Efficiency Patient care 



  1. 1.
    American College of Radiology website. Accessed July 13 2018.
  2. 2.
    Boland GW, Duszak R: The challenges in delivering the value chain. J Am Coll Radiol. 12(4):409–411, 2015CrossRefGoogle Scholar
  3. 3.
    Boland GW, Duszak R, McGinty G, Allen B: Delivery of appropriateness, quality, safety, efficiency and patient satisfaction. J Am Coll Radiol 11(1):7–11, 2014CrossRefGoogle Scholar
  4. 4.
    O’Brien J, Stormann J, Roche K, Cabral-Goncalves I, Monks A, Hallett D, Mortele K: Optimizing MRI logistics: focused process improvements can increase throughput in an academic radiology department. Am J Roentgenol 208(2):W38–W44, 2017CrossRefGoogle Scholar
  5. 5.
    RSNA RadLex Playbook website. Accessed December 3 2018.

Copyright information

© Society for Imaging Informatics in Medicine 2019

Authors and Affiliations

  • Ish A. Talati
    • 1
    • 2
  • Pranay Krishnan
    • 2
  • Ross W. Filice
    • 2
    Email author
  1. 1.Georgetown University School of MedicineWashingtonUSA
  2. 2.Department of RadiologyMedStar Georgetown University HospitalWashingtonUSA

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