AI Now Predicts Patient Health Decline 16 Hours in Advance 

Recent advancements in artificial intelligence (AI) technology have enabled healthcare professionals to anticipate patient health deterioration up to 16 hours before it occurs. This critical foresight offers a vital window for early intervention, potentially saving countless lives.  

 

 

A groundbreaking observational study conducted at King George’s Medical University (KGMU) in Lucknow, India, has demonstrated the effectiveness of Dozee’s Continuous Contactless Remote Patient Monitoring and **Early Warning System (EWS)** in revolutionizing traditional manual patient monitoring processes. Spanning over 85,000 hours of observation and monitoring 700+ patients, the study highlights how AI can transform healthcare delivery, especially in resource-constrained environments. 

## Key Findings of the Study 

The study, published in the prestigious *Frontiers in Medical Technology* journal, underscores the potential of AI-powered monitoring systems to enhance patient outcomes. It also illustrates the limitations of India’s current healthcare setup, where approximately 1.9 million patients in general wards rely solely on manual spot checks for health monitoring. With over two million hospital beds across the country, such AI systems could revolutionize care for 95% of hospital capacity, delivering high-quality, continuous monitoring at a fraction of the cost of intensive care unit (ICU) services. 

### Enhanced Monitoring and Timely Alerts 

Dozee’s system provides alerts up to 16 hours before a critical health event, empowering healthcare providers to act proactively. This timely intervention improves patient survival rates while significantly reducing healthcare staff workload by saving an estimated 2.4 hours per team member daily. The study evaluated crucial metrics, such as alert sensitivity, specificity, and the time elapsed from the first alert to clinical deterioration, establishing the system's credibility and effectiveness in improving patient outcomes. 

### Expert Opinions on AI-Driven Care 

Dr. Himanshu Dandu, a professor in KGMU’s Department of Medicine, emphasized the system’s ability to strengthen critical care in hospitals with limited resources. "This technology enables continuous patient monitoring and early detection, offering a scalable, cost-effective solution tailored to meet the challenges of healthcare systems dealing with high patient volumes," he stated. 

Dr. Jean-Louis Teboul, a leading critical care expert from Paris-Saclay University, highlighted the global relevance of these findings. "What we’ve accomplished in India has the potential to redefine healthcare worldwide. While challenges vary by region, the universal need for timely, equitable, and affordable healthcare persists," he remarked. 
 

- Bridging Gaps in Healthcare Monitoring 

In many Indian hospitals, continuous monitoring is restricted to ICUs, leaving patients in general wards susceptible to undetected clinical declines. AI-powered solutions like Dozee address this gap by tracking vital signs such as heart rate, respiratory rate, and blood pressure continuously. Early detection can save approximately 2.1 million lives annually while reducing healthcare costs by an estimated ₹6,400 crore, according to the study’s accompanying press release. 
 

- A Vision for Transforming Global Healthcare 

Gaurav Parchani, CTO and Co-Founder of Dozee, reflected on the broader implications of the study: "This real-world evidence reaffirms our belief in technology’s ability to revolutionize healthcare. By making healthcare more efficient, accessible, and equitable, we’re not just solving problems for India but laying the foundation for global healthcare solutions." 
 

- International Collaboration 

The study’s authors include a distinguished team of experts: Dr. Himanshu Dandu and Dr. Ambuj Yadav from KGMU; Dozee’s clinical research team, led by Gaurav Parchani, Dr. Kumar Chokalingam, and Ms. Pooja Kadambi; Dr. Rajesh Mishra, former ISCCM President; and Dr. Ahsina Jahan, Deputy Medical Director for ICU and Emergency in Bangladesh. International contributors, such as Dr. Jean-Louis Teboul of Paris-Saclay Medical University and Dr. Jos M. Latour of the University of Plymouth, have further bolstered the study’s global credibility. 

This research marks a significant step forward in leveraging AI for life-saving applications and promises to redefine patient care, not just in India, but across the globe.