Study – ThePrint – PTIFeed

Bengaluru, Oct 25 (PTI) A study published in the international journal ‘Frontiers in Medical Technology’ has highlighted the impact of AI-powered early warning system (EWS) that could predict deterioration of patient’s health with up to 16 hours of anticipation, thus providing healthcare professionals with a critical window to intervene early and potentially save lives.

The study, one of the largest observational studies of its kind in tertiary care in India, was conducted at King George’s Medical University (KGMU), Lucknow. The research team studied the impact using artificial intelligence startup Dozee’s AI-powered remote patient monitoring and early warning system.

Dr. Himanshu Dandu, Professor, Department of Medicine, KGMU, emphasized the potential of the technology to improve critical care in resource-limited settings.

“This system enables early detection and continuous monitoring of patients, providing a scalable and affordable solution tailored to the demands of healthcare systems facing large numbers of patients. “The ability to detect signs of deteriorating patient health can significantly improve their survival rates.” In a nation with 2 million hospital beds, where approximately 1.9 million patients in general wards rely on manual spot checks for their monitoring, Dozee’s AI-powered EWS has the potential to transform care by 95 percent of hospital capacity, providing continuous monitoring that saves lives. that ensures world-class healthcare at a fraction of the cost of ICU services, said Gaurav Parchani, CTO and co-founder of Dozee.

According to him, this early detection has the potential to save 21 lakh lives a year and reduce healthcare costs by Rs 6,400 crore.

The study monitored more than 700 patients for 85,000 hours. PTI JR SA

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