In India, where hospital beds are a limited resource at 2 million nationwide, roughly 1.9 million patients in general wards rely solely on periodic manual checks by medical staff. However, a groundbreaking study in Frontiers in Medical Technology suggests that healthcare technology firm Dozee’s AI-powered remote patient monitoring and Early Warning System (EWS) could dramatically improve care across nearly 95% of this capacity.
Conducted at King George’s Medical University (KGMU), this research is among the largest observational studies in India to date and showcases the transformative potential of Dozee's system to provide life-saving monitoring at a fraction of the cost of ICU services.
This advanced AI technology has the capacity to detect patient health deterioration up to 16 hours in advance, giving medical teams a critical window to administer timely interventions that could save lives.
The study involved monitoring over 700 patients for a total of 85,000 hours, allowing Dozee’s EWS to demonstrate its powerful capacity to replace traditional manual patient monitoring with a proactive, technology-based solution. The system, by alerting medical personnel up to 16 hours before a critical health event, enables healthcare providers to act preemptively, significantly improving patient recovery rates.
Healthcare professionals reported a significant improvement in efficiency, with an estimated 2.4 hours saved per staff member per day. The research assessed metrics such as alert sensitivity, specificity, and the average time from initial alert to deterioration, along with healthcare practitioners' activities.
In India, continuous monitoring is generally available only in ICUs, leaving general wards — where the majority of patients reside — at risk for unmonitored clinical deterioration. Dozee’s EWS bridges this gap, with continuous monitoring of vital indicators like heart rate, respiratory rate, and blood pressure.
The study results showed that Dozee’s technology successfully predicted patient deterioration in 67% to 94% of cases, allowing early intervention and improved outcomes. This proactive approach holds the potential to save approximately 2.1 million lives per year and reduce healthcare costs by nearly ₹6,400 crore.
Dr. Himanshu Dandu, Professor in the Department of Medicine at KGMU, highlighted the technology’s potential, especially for resource-limited settings. According to Dr. Dandu, “This system provides a scalable and affordable solution tailored to the demands of healthcare systems facing heavy patient loads. The ability to detect signs of patient health deterioration can significantly improve survival rates.” This statement underscores the technology’s promise to bring ICU-level care to general wards, where most patients receive care.
The significance of Dozee’s technology is also seen on a global scale. Dr. Jean-Louis Teboul, an intensivist and critical care expert from Paris-Saclay University, stated that “What we have achieved in India has the potential to reshape healthcare globally. The challenges may differ, but the need for equitable, timely, and affordable care remains universal.” His insight reveals the universal appeal and adaptability of Dozee’s AI-driven solutions, potentially addressing healthcare gaps worldwide.
Commenting on the study’s findings, Gaurav Parchani, CTO and Co-Founder of Dozee, affirmed the company’s mission to improve healthcare accessibility. He stated, “We’re not just solving a problem for India but laying the groundwork for global healthcare solutions.” This commitment reflects the broad vision behind Dozee’s technology — making healthcare more efficient and equitable for all.
The findings from KGMU’s observational study highlight how Dozee’s AI-powered EWS system can redefine patient care in hospitals. The system not only reduces the strain on healthcare resources but also extends life-saving continuous monitoring to general wards. As healthcare technology like Dozee's expands, the potential to save millions of lives annually and significantly reduce medical costs becomes a reality. With the inclusion of AI-driven monitoring, hospitals worldwide can transition toward a more resilient and equitable healthcare model that proactively addresses patient needs and enhances outcomes.