Utilization of a cloud-based radiology analytics platform to monitor imaging volumes at a large tertiary center

Stanley Chu*, Mitchell Collins, Maurice Pradella, Martin Kramer, Rachel Davids, Mathis Zimmerman, Sarah Fopma, Alexander Korutz, Blair Faber, Ryan Avery, James Carr, Bradley D. Allen, Michael Markl

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Rationale and objective: In this study, we evaluate the ability of a novel cloud-based radiology analytics platform to continuously monitor imaging volumes at a large tertiary center following institutional protocol and policy changes. Materials and methods: We evaluated response to environmental factors through the lens of the COVID-19 pandemic. Analysis involved 11 CT/18 MR imaging systems at a large tertiary center. A vendor neutral, cloud-based analytics tool (CBRAP) was used to retrospectively collect information via DICOM headers on imaging exams between Oct. 2019 to Aug. 2021. Exams were stratified by modality (CT or MRI) and organized by body region. Pre-pandemic scan volumes (Oct 2019-Feb. 2010) were compared with volumes during/after two waves of COVID-19 in Illinois (Mar. to May 2020 & Oct. to Dec. 2020) using a t-test or Mann-Whitney U test. Results: The CBRAP was able to analyze 169,530 CT and 110,837 MR images, providing a detailed snapshot of baseline and post-pandemic CT and MR imaging across the radiology enterprise at our tertiary center. The CBRAP allowed for further subdivision in its reporting, showing monthly trends in average scan volumes specifically in the head, abdomen, spine, MSK, thorax, neck, GU system, or breast. Conclusion: The CBRAP retrieved data for 300,000 + imaging exams across multiple modalities at a large tertiary center in a highly populated, urban environment. The ability to analyze large imaging volumes across multiple waves of COVID-19 and evaluate quality-improvement endeavors/imaging protocol changes displays the usefulness of the CBRAP as an advanced imaging analytics tool.

Original languageEnglish (US)
Article number100443
JournalEuropean Journal of Radiology Open
Volume9
DOIs
StatePublished - Jan 2022

Keywords

  • COVID-19
  • Cloud-based analytics
  • Computed tomography
  • Magnetic resonance imaging
  • Process improvement

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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