2022
DOI: 10.1136/bmj-2021-068576
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Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study

Abstract: Objective To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for model development and code sharing. Design Retrospective cohort study. Setting One US hospital during 2015-21 was used for model training and internal validation. Ext… Show more

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Cited by 36 publications
(27 citation statements)
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“…We describe a new approach for augmenting EHR-based deterioration models with imaging data. We applied the approach to two EHR-based deterioration indices used for COVID-19, EDI and a locally-developed model called MCURES [ 4 , 5 ]. When applied to data from a large hospital, the image-augmented deterioration indices identified over five times more low-risk COVID-19 patients than the deterioration indices based on EHR data alone.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…We describe a new approach for augmenting EHR-based deterioration models with imaging data. We applied the approach to two EHR-based deterioration indices used for COVID-19, EDI and a locally-developed model called MCURES [ 4 , 5 ]. When applied to data from a large hospital, the image-augmented deterioration indices identified over five times more low-risk COVID-19 patients than the deterioration indices based on EHR data alone.…”
Section: Discussionmentioning
confidence: 99%
“…In the analysis, we augmented two different existing EHR-based deterioration indices: the Epic Deterioration Index (EDI) and MCURES [ 4 , 5 ].…”
Section: Methodsmentioning
confidence: 99%
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“…In a BMJ special paper, Tang and colleagues report on the development and validation of a model to predict clinical deterioration in patients admitted to hospital with covid-19 (doi:10.1136/bmj-2021-068576). 10 The novelty of the paper is not the algorithm but rather the methods used to create it. The machine learning model is open source.…”
mentioning
confidence: 99%