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Use of Real-World Data and Machine Learning to Monitor Maternal Mortality and Severe Maternal Morbidity

In Brazil, the only information system that provides data on maternal morbidity is the Hospital Information System (SIH), but there are difficulties in implementing the criteria recommended by WHO and doubts about the quality of information. The project will validate the SIH against the Maternal Near Miss criteria and will build and validate an algorithm to identify severe maternal morbidity. As a product, it will develop an online indicator panel for the surveillance of maternal health to be used by SUS managers.

More information about Grand Challenges Explorations – Brazil: Data Science Approaches to Improve Maternal and Child Health, Women's Health and Children's Health in Brazil

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The Bill & Melinda Gates Foundation is part of the Grand Challenges partnership network. Visit grandchallenges.org to view the map of awarded grants across this network and grant opportunities from partners.