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      Modelling the backlog of COVID-19 cases for a surgical group

      research-article
      , MD, PhD, , MD, , MD
      Canadian Journal of Surgery
      Joule Inc.

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          Summary

          The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on health care delivery and has resulted in a backlog of patients needing surgery. There is a lack of experience and guidance in dealing with this increased demand on an already overburdened health care system. We created an online tool (www.covidbacklog.com) that helps surgeons explore how resource allocation within their group will affect wait times for patients. After inputting a handful of readily available variables, the computer program generates a forecast of how long it will take to see the backlog of patients. This information could be used to allow surgical groups to run simulations to explore different resource allocation strategies in order to help prevent down-stream consequences of delayed patient care.

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          Author and article information

          Journal
          Can J Surg
          Can J Surg
          0372715
          Canadian Journal of Surgery
          Joule Inc.
          0008-428X
          1488-2310
          October 2020
          : 63
          : 5
          : E391-E392
          Affiliations
          From the Division of Neurosurgery (Department of Surgery), Dalhousie University, Halifax, NS.
          Author notes
          Correspondence to: S. Christie, QEII Health Sciences Centre Halifax, Infirmary, 3806 – 1796 Summer St, Halifax NS B3H 3A7, sean.christie@ 123456dal.ca
          Article
          PMC7608701 PMC7608701 7608701 063e391
          10.1503/cjs.011420
          7608701
          32856888
          07efcdff-428d-4396-843b-3ee94360ad8e
          © 2020 Joule Inc. or its licensors
          History
          : 28 July 2020
          Categories
          Discussions in Surgery

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