AI Predicts Health Crises 16 Hours Early, Paving the Way to Save Millions of Lives
12 Nov 2024 • Dozee’s AI-powered Early Warning System has proven to predict patient health deterioration up to 16 hours in advance, offering healthcare professionals a crucial window for early intervention.
A study conducted at King George’s Medical University (KGMU), Lucknow, monitored over 700 patients across 85,000 hours and demonstrated the system’s potential to significantly improve patient outcomes.
By continuously tracking vitals like heart rate, respiratory rate, and blood pressure without contact, Dozee's technology could transform care in general wards, where manual monitoring is still common in India.
Experts estimate that widespread implementation of this system could save up to 21 lakh lives annually and reduce healthcare costs by ₹6400 crores.
With its scalable, affordable, and resource-efficient model, the system is seen as a game-changer for global healthcare, particularly in resource-constrained environments.
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