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Dozee’s AI-Powered System Predicts Patient Deterioration 16 Hours in Advance

Dozee has unveiled a study demonstrating the effectiveness of its AI-powered Early Warning System (EWS), which can predict patient deterioration up to 16 hours ahead of time.

Dozee has unveiled a study demonstrating the effectiveness of its AI-powered Early Warning System (EWS), which can predict patient deterioration up to 16 hours ahead of time. Published in the prominent journal Frontiers in Medical Technology, this study represents one of the largest observational studies in Indian tertiary care and showcases Dozee's commitment to revolutionising healthcare through affordable, scalable AI solutions.

The study, conducted at King George’s Medical University (KGMU), monitored over 700 patients across 85,000 hours, highlighting the life-saving potential of Dozee’s contactless Remote Patient Monitoring and EWS. The system continuously tracks key vitals such as heart rate, respiratory rate, and blood pressure, providing timely alerts that allow healthcare professionals to intervene well before a patient’s condition reaches a critical stage. This proactive approach could help save an estimated 21 lakh lives annually while reducing healthcare costs by Rs 6,400 crores.

Traditionally, continuous monitoring is limited to Intensive Care Units (ICUs), leaving general wards—where most patients reside—vulnerable to undetected deterioration. Dozee’s system bridges this gap, transforming patient monitoring across 95 per cent of hospital capacity and offering world-class care at a fraction of the cost of ICU services. The EWS predicted deterioration in 67 per cent to 94 per cent of cases, giving healthcare providers a crucial 16-hour window for intervention.

“This technology enhances critical care in resource-limited settings by providing continuous monitoring and early detection,” said Dr. Himanshu Dandu, Professor at KGMU. “The ability to anticipate health deterioration significantly improves survival rates.”

The study also underscored the global relevance of this innovation, with leading experts from India and abroad contributing to the research. Dr. Jean-Louis Teboul from Paris-Saclay University emphasised the system’s potential to address global healthcare challenges, calling it a blueprint for scalable, affordable healthcare.

“The results show how technology can transform healthcare, not just for India but globally,” said Gaurav Parchani, CTO and Co-Founder of Dozee.

As healthcare systems worldwide grapple with unsustainable models, Dozee’s AI-powered solutions stand out as a game-changer, offering timely, efficient, and equitable care.

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