Probabilistic Modeling of Exam Durations in Radiology Procedures

Probabilistic Modeling of Exam Durations in Radiology Procedures

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 mo...

Full description

Saved in:
Bibliographic Details
Published in:Journal of digital imaging Vol. 32; no. 3; pp. 386 - 395
Main Authors: Raghavan, Usha Nandini, Hall, Christopher S., Tellis, Ranjith, Mabotuwana, Thusitha, Wald, Christoph
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01-06-2019
Springer Nature B.V
Subjects:
Analytics
Imaging
Mathematical models
Medicine
Medicine & Public Health
Normal distribution
Probabilistic models
Radiology
Statistical analysis
Workflow
Exam duration
Scenario modeling
Probability distribution
Variations in practice
Simulation
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0897-1889
1618-727X
DOI:10.1007/s10278-018-00175-y