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Journal of digital imaging
02, 2020;33 (1): 143-150.

Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice.

Ray Zhang, Vamsi R Narra, Akash P Kansagra
Author Information
  1. Ray Zhang: Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
  2. Vamsi R Narra: Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, Campus Box 8131, St. Louis, MO, 63110, USA.
  3. Akash P Kansagra: Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, Campus Box 8131, St. Louis, MO, 63110, USA. apkansagra@gmail.com. ORCID
PMID: 31292770 DOI: 10.1007/s10278-019-00252-w

Abstract

Scheduling of CT and MR exams requires reasonable estimates for expected scan duration. However, scan-time variability and efficiency gains from combining multiple exams are not quantitatively well characterized. In this work, we developed an informatics approach to quantify typical duration, duration variability, and multiple-procedure efficiency on a large scale, and used the approach to analyze 48,766 CT- and MR-based neuroradiological exams performed over one year. We found MR exam durations demonstrated higher absolute variability, but lower relative variability and lower multiple-procedure efficiency, compared to CT exams (p < 0.001). Our approach enables quantification of real-world operational performance and variability to inform optimal patient scheduling, efficient resource utilization, and sustainable service planning.

Keywords

Computed tomography Current Procedural Terminology Magnetic resonance

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MeSH Term

Cross-Sectional Studies
Humans
Magnetic Resonance Imaging
Radionuclide Imaging
Tomography, X-Ray Computed
Journal Article

Word Cloud

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