Author: Guitron, Steven; Pianykh, Oleg S.; Succi, Marc D.; Lang, Min; Brink, James
Title: “COVID-19: Recovery Models for Radiology Departments†Cord-id: h7inxh57 Document date: 2020_9_7
ID: h7inxh57
Snippet: The 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
Document: The 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 exam volume on a week-to-week basis; and (3) a next wave model to estimate the impact from future COVID-19 surges. We present these models as techniques that can be used at any stage in an unpredictable pandemic timeline.
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