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The association between advanced diagnostic imaging and ED length of stay
Hemal K. Kanzaria
, Marc A. Probst
, Ninez A. Ponce
, Renee Y. Hsia
EM-MSH
EM-Research Division
Emergency Medicine
Icahn School of Medicine at Mount Sinai
Research output
:
Contribution to journal
›
Article
›
peer-review
37
Scopus citations
Overview
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Keyphrases
Advanced Imaging
100%
Emergency Department Length of Stay
100%
Imaging Department
100%
Length of Stay
62%
Generalized Linear Model
37%
Emergency Department
25%
Ordinary Least Squares Regression
25%
Abdominal Pain
12%
Fever
12%
Modeling Approach
12%
Computed Tomography
12%
Magnetic Resonance Imaging
12%
Unbiased Estimate
12%
Emergency Department Visits
12%
Point Estimate
12%
Survey Data
12%
Long Length
12%
Chief Complaint
12%
National Ambulatory Medical Care Survey (NAMCS)
12%
Quantile Regression
12%
Imaging Use
12%
Ordinary Least Squares
12%
Nursing and Health Professions
Length of Stay
100%
Emergency Ward
100%
Diagnostic Imaging
100%
Least Squares Method
33%
Imaging
11%
Nuclear Magnetic Resonance Imaging
11%
Computer Assisted Tomography
11%
Abdominal Pain
11%
Health Care
11%
Medicine and Dentistry
Emergency Department
100%
Diagnostic Imaging
100%
Least Squares Method
37%
Abdominal Pain
12%
Medical Care
12%
Magnetic Resonance Imaging
12%
Computer Assisted Tomography
12%
Primary Outcome
12%
Pharmacology, Toxicology and Pharmaceutical Science
Abdominal Pain
100%