Autor: |
Cody E. Cotner, Christian Terwiesch, Asaf Hanish, Gary E. Weissman, Barry D. Fuchs, Kristian Lum, James E. Johndrow, Olivia S. Jew, ThaiBinh Luong, Kevin G. Volpp, April Cardone, Ravi B. Parikh, Michael Draugelis |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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DOI: |
10.1101/2020.08.20.20178780 |
Popis: |
Due to the global shortage of PPE caused by increasing number of COVID-19 patients in recent months, many hospitals have had difficulty procuring adequate PPE for the clinicians who care for these patients. Faced with a shortage, hospitals have had to implement new PPE conservation policies. In this paper, we describe a tool to help hospitals better project PPE needs under various conservation policies. Though this tool is built on top of projections of the number of hospitalized COVID-19 patients, it is agnostic as to which model—of which many are available—provides these projections. The tool combines COVID-19 patient census projections with information like staffing ratios and frequency of patient contact to provide projections of the number of items of key types of PPE needed under three built-in conservation scenarios: standard, contingency, and crisis. Users are also able to customize the tool to the specifics of their hospital and design custom conservation policies. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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