Dozee’s AI System Predicts Patient Health Risks 16 Hours in Advance

The study was authored by a team including Dr Dandu and Dr Ambuj Yadav from KGMU, and supported by international experts such as Dr Jos M Latour from the University of Plymouth, UK, showing potential for scalable, AI-driven solutions to improve patient outcomes globally.

Dozee, an Indian healthtech startup, has published findings in Frontiers in Medical Technology demonstrating its AI-powered Early Warning System (EWS).

Conducted at King George’s Medical University (KGMU), the study highlights the system’s capability to predict patient deterioration up to 16 hours in advance, offering critical lead time for healthcare providers to intervene.

The study was authored by a team including Dr Dandu and Dr Ambuj Yadav from KGMU, and supported by international experts such as Dr Jos M Latour from the University of Plymouth, UK, showing potential for scalable, AI-driven solutions to improve patient outcomes globally.

Key Findings

As per the study, the EWS system provided deterioration alerts approximately 16 hours ahead.

Dozee’s AI-powered system continuously tracks vitals such as heart rate and respiratory rate, predicting deterioration in 67% to 94% of cases.

“This technology offers an affordable and scalable solution for early patient monitoring, especially valuable in high-volume environments,” Dr Dandu from KGMU stated.

Early detection is projected to save 21 lakh lives annually and reduce costs by INR 6,400 Cr and reportedly, Dozee’s system saved healthcare practitioners 10% of their time, equating to 2.4 hours daily, the study highlighted.

In India’s hospitals, where 95% of beds are in general wards with limited monitoring, Dozee’s EWS offers continuous, low-cost monitoring outside of ICUs.

Observing over 700 patients across 85,000 hours, the study found Dozee’s system provided alerts 16 hours before a critical event, enabling early interventions and saving healthcare staff 2.4 hours per day per worker.

Dr Jean-Louis Teboul of Paris-Saclay University commented on the study’s wider relevance, said, “These findings from India highlight the need for timely, affordable care across healthcare systems.”

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