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COVID-19: Recovery Models for Radiology Departments

The coronavirus disease 2019 (COVID-19) pandemic has greatly affected demand for imaging services, with marked reductions in demand for elective imaging and image-guided interventional procedures. To guide radiology planning and recovery from this unprecedented impact, three recovery models were dev...

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Detalles Bibliográficos
Autores principales: Guitron, Steven, Pianykh, Oleg S., Succi, Marc D., Lang, Min, Brink, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American College of Radiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476574/
https://www.ncbi.nlm.nih.gov/pubmed/32979322
http://dx.doi.org/10.1016/j.jacr.2020.09.020
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author Guitron, Steven
Pianykh, Oleg S.
Succi, Marc D.
Lang, Min
Brink, James
author_facet Guitron, Steven
Pianykh, Oleg S.
Succi, Marc D.
Lang, Min
Brink, James
author_sort Guitron, Steven
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic has greatly affected demand for imaging services, with marked reductions in demand for elective imaging and image-guided interventional procedures. To guide radiology planning and recovery from this unprecedented impact, three recovery models were developed to predict imaging volume over the course of the COVID-19 pandemic: (1) a long-term volume model with three scenarios based on prior disease outbreaks and other historical analogues, to aid in long-term planning when the pandemic was just beginning; (2) a short-term volume model based on the supply-demand approach, leveraging increasingly available COVID-19 data points to predict examination volume on a week-to-week basis; and (3) a next-wave model to estimate the impact from future COVID-19 surges. The authors present these models as techniques that can be used at any stage in an unpredictable pandemic timeline.
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spelling pubmed-74765742020-09-08 COVID-19: Recovery Models for Radiology Departments Guitron, Steven Pianykh, Oleg S. Succi, Marc D. Lang, Min Brink, James J Am Coll Radiol Original Article The coronavirus disease 2019 (COVID-19) pandemic has greatly affected demand for imaging services, with marked reductions in demand for elective imaging and image-guided interventional procedures. To guide radiology planning and recovery from this unprecedented impact, three recovery models were developed to predict imaging volume over the course of the COVID-19 pandemic: (1) a long-term volume model with three scenarios based on prior disease outbreaks and other historical analogues, to aid in long-term planning when the pandemic was just beginning; (2) a short-term volume model based on the supply-demand approach, leveraging increasingly available COVID-19 data points to predict examination volume on a week-to-week basis; and (3) a next-wave model to estimate the impact from future COVID-19 surges. The authors present these models as techniques that can be used at any stage in an unpredictable pandemic timeline. American College of Radiology 2020-11 2020-09-07 /pmc/articles/PMC7476574/ /pubmed/32979322 http://dx.doi.org/10.1016/j.jacr.2020.09.020 Text en © 2020 American College of Radiology. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Guitron, Steven
Pianykh, Oleg S.
Succi, Marc D.
Lang, Min
Brink, James
COVID-19: Recovery Models for Radiology Departments
title COVID-19: Recovery Models for Radiology Departments
title_full COVID-19: Recovery Models for Radiology Departments
title_fullStr COVID-19: Recovery Models for Radiology Departments
title_full_unstemmed COVID-19: Recovery Models for Radiology Departments
title_short COVID-19: Recovery Models for Radiology Departments
title_sort covid-19: recovery models for radiology departments
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476574/
https://www.ncbi.nlm.nih.gov/pubmed/32979322
http://dx.doi.org/10.1016/j.jacr.2020.09.020
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