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Predictive Analytics Tool Accurately Detects Patient Deterioration

April 27, 2021

This is an article about portfolio company, predictive analytics model.

April 27, 2021 - Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients.

The algorithm was more accurate than the Epic Deterioration Index (EDI), an existing tool used for patient deterioration investigation.

In a study published in JMIR: Medical Informatics, researchers describe the development and performance of the Predicting ICU Transfer and other Unforeseen Events (PICTURE) algorithm.

View source version on healthitanalytics.com: https://healthitanalytics.com/news/predictive-analytics-tool-accurately-detects-patient-deterioration

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