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COVID-19: Recovery Models for Radiology Departments.
Guitron, Steven; Pianykh, Oleg S; Succi, Marc D; Lang, Min; Brink, James.
  • Guitron S; Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Pianykh OS; Director of Medical Analytics Group, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: opianykh@mgh.harvard.edu.
  • Succi MD; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Director, Medically Engineered Solutions in Healthcare Incubator, Massachusetts General Hospital, Boston, Massachusetts.
  • Lang M; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Brink J; Juan M. Taveras Professor of Radiology, Harvard Medical School, Boston, Massachusetts; Radiologist-in-Chief, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
J Am Coll Radiol ; 17(11): 1460-1468, 2020 11.
Article in English | MEDLINE | ID: covidwho-1065254
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiology Department, Hospital / Workload / COVID-19 / Health Services Needs and Demand Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Coll Radiol Journal subject: Radiology Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiology Department, Hospital / Workload / COVID-19 / Health Services Needs and Demand Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Coll Radiol Journal subject: Radiology Year: 2020 Document Type: Article