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Emerging Classic

Detecting patient deterioration using artificial intelligence in a rapid response system.

Cho K-J, Kwon O, Kwon J-myoung, et al. Detecting patient deterioration using artificial intelligence in a rapid response system. Crit Care Med. 2020;48(4):e285-e289. doi:10.1097/ccm.0000000000004236.

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March 25, 2020
Cho K-J, Kwon O, Kwon J-myoung, et al. Crit Care Med. 2020;48(4):e285-e289.
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This study compared an artificial intelligence (AI)-based early warning system using machine learning with conventional trigger methods for predicting deterioration among hospitalized patients, defined as in-hospital cardiac arrest resulting in ICU admissions. The AI system accurately predicted deterioration and was more accurate than conventional methods, demonstrating its potential effectiveness in EHR-based rapid response systems.

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Cho K-J, Kwon O, Kwon J-myoung, et al. Detecting patient deterioration using artificial intelligence in a rapid response system. Crit Care Med. 2020;48(4):e285-e289. doi:10.1097/ccm.0000000000004236.