The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden

**Background:** Early diagnosis of sepsis has been shown to reduce treatment delays, increase appropriate care, and reduce mortality. The sepsis machine learning algorithm NAVOY® Sepsis, based on variables routinely collected at intensive care units (ICUs), has shown excellent predictive properties....

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Bibliographic Details
Main Authors: Oskar Ericson, Jonas Hjelmgren, Fredrik Sjövall, Joakim Söderberg, Inger Persson
Format: Article
Language:English
Published: Columbia Data Analytics, LLC 2022-04-01
Series:Journal of Health Economics and Outcomes Research
Online Access:https://doi.org/10.36469/jheor.2022.33951