Varanasi: Researchers from the department of Computer Science Engineering at the Indian Institute of Technology (IIT), BHU have developed an innovative technology using blockchain and machine learning to provide timely emergency healthcare services.
This system, designed for real-time health monitoring, aims to bridge the healthcare gap between urban and rural areas. The technology involves sensors that attach to a person’s body and connect to a mobile phone via bluetooth. These sensors can detect emergencies such as high blood pressure or heart attacks and send alerts to the mobile phone.
Through blockchain technology, notifications are also sent to family members and nearby hospitals, enabling swift action before the situation worsens. Lead researcher Ajay Pratap, an assistant professor at IIT (BHU), explained that the system employs Wireless Body Area Networks (WBANs) for secure and decentralized data analysis.
“This combination of blockchain and machine learning helps in early detection of medical emergencies and the creation of personalized treatment plans,” he said.
The system’s energy efficiency makes it particularly suitable for regions with limited power supply. This research aligns with India’s sustainable development goals and healthcare initiatives like Ayushman Bharat and the vision of Viksit Bharat by 2047. It also has the potential to expand telemedicine and remote healthcare services nationwide.
