Cargando…
Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening
OBJECTIVE: Responding to the COVID-19 pandemic requires accurate forecasting of health system capacity requirements using readily available inputs. We examined whether testing and hospitalization data could help quantify the anticipated burden on the health system given shelter-in-place (SIP) order....
Autores principales: | Kashyap, Sehj, Gombar, Saurabh, Yadlowsky, Steve, Callahan, Alison, Fries, Jason, Pinsky, Benjamin A, Shah, Nigam H |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337779/ https://www.ncbi.nlm.nih.gov/pubmed/32548636 http://dx.doi.org/10.1093/jamia/ocaa076 |
Ejemplares similares
-
Estimating the efficacy of symptom-based screening for COVID-19
por: Callahan, Alison, et al.
Publicado: (2020) -
It is time to learn from patients like mine
por: Gombar, Saurabh, et al.
Publicado: (2019) -
U-Index, a dataset and an impact metric for informatics tools and databases
por: Callahan, Alison, et al.
Publicado: (2018) -
A survey of extant organizational and computational setups for deploying predictive models in health systems
por: Kashyap, Sehj, et al.
Publicado: (2021) -
ACE: the Advanced Cohort Engine for searching longitudinal patient records
por: Callahan, Alison, et al.
Publicado: (2021)