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

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, durati...

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Publicado en:Journal of Digital Imaging Vol. 33; no. 1; pp. 143 - 151
Autores principales: Zhang, Ray, Narra, Vamsi R., Kansagra, Akash P.
Formato: research tables/charts Journal Article
Publicado: Springer Nature Feb2020
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice.
      aug:
        au:
          Zhang, Ray
          Narra, Vamsi R.
          Kansagra, Akash P.
        affil: Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
      sug:
        subj:
          Neuroradiography
          Informatics
          Tomography, X-Ray Computed
          Magnetic Resonance Imaging
          Cross Sectional Studies
          Current Procedural Terminology
          Human
      ab: 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.
      pubtype: Academic Journal
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    language: English
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