‘AI-powered system predicts patient deterioration up to 16 hrs in advance’

In a nation with 2 million hospital beds, where approximately 1.9 million patients in general wards rely on manual spot checks for monitoring, healtech firm Dozee’s AI-Powered remote patient monitoring and early warning system (EWS) has the potential to transform care across 95 per cent of hospital capacity, according to a study published in journal Frontiers in Medical Technology. 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. The study said Dozee’s technology enables delivering life-saving continuous monitoring that ensures healthcare at a fraction of the cost of ICU services.