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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
Descripción
Sumario: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.