COVID-19: Recovery Models for Radiology Departments

J Am Coll Radiol. 2020 Nov;17(11):1460-1468. doi: 10.1016/j.jacr.2020.09.020. Epub 2020 Sep 7.

Abstract

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.

Keywords: COVID-19; predictive models; recovery planning; supply and demand.

MeSH terms

  • Boston / epidemiology
  • COVID-19 / epidemiology*
  • Forecasting
  • Health Services Needs and Demand*
  • Humans
  • Models, Organizational
  • Pandemics
  • Planning Techniques
  • Radiology Department, Hospital / organization & administration*
  • SARS-CoV-2
  • Workload*