“P(3)”: an adaptive modeling tool for post-COVID-19 restart of surgical services

OBJECTIVE: To develop a predictive analytics tool that would help evaluate different scenarios and multiple variables for clearance of surgical patient backlog during the COVID-19 pandemic. MATERIALS AND METHODS: Using data from 27 866 cases (May 1 2018–May 1 2020) stored in the Johns Hopkins All Ch...

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Detalles Bibliográficos
Autores principales: Joshi, Divya, Jalali, Ali, Whipple, Todd, Rehman, Mohamed, Ahumada, Luis M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Brief Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081059/
https://www.ncbi.nlm.nih.gov/pubmed/33948535
http://dx.doi.org/10.1093/jamiaopen/ooab016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081059/
https://www.ncbi.nlm.nih.gov/pubmed/33948535
http://dx.doi.org/10.1093/jamiaopen/ooab016

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