When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19

When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19

Abstract Background The need for life-saving interventions such as mechanical ventilation may threaten to outstrip resources during the Covid-19 pandemic. Allocation of these resources to those most likely to benefit can be supported by clinical prediction models. The ethical and practical considera...

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Bibliographic Details
Main Authors: David M. Kent, Jessica K. Paulus, Richard R. Sharp, Negin Hajizadeh
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Diagnostic and Prognostic Research
Subjects:
Clinical prediction models
Covid-19
Healthcare rationing
Algorithmic fairness
Online Access:http://link.springer.com/article/10.1186/s41512-020-00079-y

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http://link.springer.com/article/10.1186/s41512-020-00079-y

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