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Dozee's AI System predicts patient deterioration 16 hours early
The Business Guardian
|October 30, 2024
Dozee, India's Health AI leader, has unveiled the findings of a landmark study published in the internationally renowned journal Frontiers in Medical Technology. This journal is part of the prestigious Frontiers group.
The study was conducted at King George's Medical University (KGMU) and is one of the largest observational studies of its kind in Indian tertiary care.
This study highlights the groundbreaking impact of Dozee's AI-powered Early Warning System (EWS), demonstrating its ability to predict patient health deterioration up to 16 hours in advance, thereby providing healthcare professionals with a critical window to intervene early and potentially save lives.
In a nation with 2 million hospital beds, where approximately 1.9 million patients in general wards rely on manual spot checks for monitoring, Dozee's AI-Powered Remote Patient Monitoring and Early Warning System (EWS) offers a revolutionary solution.
Dit verhaal komt uit de October 30, 2024-editie van The Business Guardian.
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