Literature DB >> 30611682

Increasing Utilization of Chest Imaging in US Emergency Departments From 1994 to 2015.

Jonathan H Chung1, Richard Duszak2, Jennifer Hemingway3, Danny R Hughes4, Andrew B Rosenkrantz5.   

Abstract

PURPOSE: The aim of this study was to assess national and state-specific changes in emergency department (ED) chest imaging utilization from 1994 to 2015.
METHODS: Using aggregate 100% Medicare Physician/Supplier Procedure Summary Master Files for 1994 to 2015, the annual frequency of chest imaging in Medicare Part B beneficiaries in the ED setting was identified, and utilization was normalized to annual Medicare enrollment as well as annual ED visits. Using individual Medicare beneficiary 5% research-identifiable files, similar determinations were performed for each state.
RESULTS: Between 1994 and 2015, per 1,000 beneficiaries, ED utilization of chest radiography and CT increased by 173% (compound annual growth rate [CAGR] 4.9%) and 5,941.8% (CAGR 21.6%). Per 1,000 ED visits, utilization increased by 81% (CAGR 2.9%) and 3,915.4% (CAGR 19.2%), respectively. Across states, utilization was highly variable, with 2015 radiography utilization per 1,000 ED visits ranging from 82 (Wyoming) to 731 (Hawaii) and CT utilization ranging from 18 (Wyoming) to 76 (Hawaii). Between 2004 and 2015, most states demonstrated increases in the utilization of both radiography (maximal increase of CAGR 11.0% in Vermont) and CT (maximal increase of CAGR 21.0% in Maine). Nonetheless, utilization of radiography declined in four states and utilization of CT in a single state.
CONCLUSIONS: Over the past two decades, ED utilization of chest imaging has increased. This was related not only to an increasing frequency of ED visits but also to increasing utilization per ED visit. Across states, utilization is highly variable, but with radiography and CT both increasing, the use of CT seems additive to, rather than replacing, radiography.
Copyright © 2018 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT; Thoracic; chest; emergency department; imaging; radiograph

Mesh:

Year:  2019        PMID: 30611682     DOI: 10.1016/j.jacr.2018.11.011

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  5 in total

1.  Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.

Authors:  Haley S Hunter-Zinck; Jordan S Peck; Tania D Strout; Stephan A Gaehde
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

2.  Are we ready?

Authors:  C Pedrosa
Journal:  Radiologia (Engl Ed)       Date:  2020-05-06

3.  Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray.

Authors:  P Menéndez Fernández-Miranda; P Sanz Bellón; A Pérez Del Barrio; L Lloret Iglesias; P Solís García; F Aguilar-Gómez; D Rodríguez González; J A Vega
Journal:  J Digit Imaging       Date:  2021-03-08       Impact factor: 4.056

Review 4.  Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology.

Authors:  Yisak Kim; Ji Yoon Park; Eui Jin Hwang; Sang Min Lee; Chang Min Park
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 2.895

5.  Association of computed tomography screening with lung cancer stage shift and survival in the United States: quasi-experimental study.

Authors:  Alexandra L Potter; Allison L Rosenstein; Mathew V Kiang; Shivani A Shah; Henning A Gaissert; David C Chang; Florian J Fintelmann; Chi-Fu Jeffrey Yang
Journal:  BMJ       Date:  2022-03-30
  5 in total

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