Indian AI System Predicts Chronic Illness with 90% Accuracy

The tool, built by Ravi Kumar Perumallapalli and Rahul Roy Devarakonda, integrates SAP’s enterprise technology with machine learning and reinforcement learning techniques.

Indian researchers have developed an AI-based platform that significantly improves chronic disease management, demonstrating a 25% drop in hospitalizations and over 90% accuracy in predicting disease progression.

The tool, built by Ravi Kumar Perumallapalli and Rahul Roy Devarakonda, integrates SAP’s enterprise technology with machine learning and reinforcement learning techniques. It is designed to shift chronic care from general, episodic treatment to real-time, personalized monitoring, particularly for conditions like diabetes, heart disease, and kidney-related disorders.

Commenting on the development, Devarakonda said, “The real benefit lies not just in the technology, but in the emotional peace it brings to families. We’re empowering patients to live more confidently, knowing their health is constantly monitored.”

Real-Time Health Monitoring Using Patient Data

The system gathers data from wearable devices, electronic health records, and other sensors to generate real-time insights for physicians. The platform supports early interventions and reduces reliance on emergency visits by continuously analyzing patient-specific health trends.

Neeta Shah, a working professional from Surat, shared her experience using the platform for her father. She said, “My 72-year-old father, who is diabetic, used to visit the hospital twice a month. Since we started using the AI platform, his condition has stabilized, and we haven't needed any emergency visits.”

Scalable Application Across Public and Private Healthcare

According to the developers, the platform is designed to be scalable across India’s healthcare infrastructure, serving everyone from rural clinics and urban hospitals to home-based care environments. Its goal is to provide consistent, data-driven support for both patients and caregivers.

Key outcomes observed from using the platform include improved access to care in remote areas, reduced emergency care costs, and better support for families managing long-term illnesses. Physicians who have used the platform report greater efficiency in addressing patient needs, thanks to real-time data access.

“This technology doesn’t just save lives; it restores normalcy to families overwhelmed by chronic disease,” stated Dr. Rina Patel, a senior physician at a public hospital in Vadodara.

The innovation has been tested in clinical settings and is well-positioned to strengthen India’s digital health framework by providing timely interventions and alleviating pressure on the healthcare system.

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