Erschienen in:
31.01.2019
Probabilistic Modeling of Exam Durations in Radiology Procedures
verfasst von:
Usha Nandini Raghavan, Christopher S. Hall, Ranjith Tellis, Thusitha Mabotuwana, Christoph Wald
Erschienen in:
Journal of Imaging Informatics in Medicine
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Ausgabe 3/2019
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Abstract
In this paper, we model the statistical properties of imaging exam durations using parametric probability distributions such as the Gaussian, Gamma, Weibull, lognormal, and log-logistic. We establish that in a majority of radiology procedures, the underlying distribution of exam durations is best modeled by a log-logistic distribution, while the Gaussian has the poorest fit among the candidates. Further, through illustrative examples, we show how business insights and workflow analytics can be significantly impacted by making the correct (log-logistic) versus incorrect (Gaussian) model choices.