Dozee's AI Breakthrough: Revolutionizing Patient Monitoring in India

Dozee's AI-powered Early Warning System (EWS) showcased in Frontiers in Medical Technology, predicts patient health deterioration 16 hours ahead. This technology, pivotal in Indian tertiary care, offers continuous, cost-effective monitoring for general wards, potentially saving lives and cutting healthcare costs dramatically.

In a significant development for healthcare, Dozee, a leader in health AI from India, has released a study highlighting the transformative impact of its AI-powered Early Warning System (EWS). Published in the Frontiers in Medical Technology journal, part of the Frontiers group, the study was conducted at King George's Medical University, one of the largest of its kind in Indian tertiary care.

The study reveals how Dozee's EWS predicts patient health deterioration up to 16 hours in advance, allowing healthcare professionals crucial time to intervene. In a country with 2 million hospital beds and heavy reliance on manual monitoring in general wards, Dozee's system stands as a beacon for revolutionary change. This technology promises to improve monitoring for 95% of hospital capacities, providing continuous care at a fraction of ICU costs.

Monitoring over 700 patients across 85,000 hours demonstrated impressive predictive capabilities in 67% to 94% of cases, signaling potential to save millions of lives annually and significantly reduce healthcare expenses. Advocated by professionals like Dr. Himanshu Dandu and Dr. Jean-Louis Teboul, the findings position Dozee's EWS as a game-changer with global aspirations, addressing critical healthcare gaps worldwide.

(With inputs from agencies.)