MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641060268 A) filed by Sugashini. K; Anand. M; Balavignesh S; Dinesh J; and Dwarakesh. B on May 12, 2026, for Ai Hdims Ai Based Health Data Information And Management System.
Inventors include Sugashini. K; Anand. M; Balavignesh S; Dinesh J; and Dwarakesh. B.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The rapid advancement of digital healthcare technologies has led to the generation of large volumes of health-related data through mobile applications, wearable devices, and smart health monitoring systems. Analyzing this continuously growing data is essential for understanding individual health patterns, detecting potential risks, and enabling data-driven healthcare decisions. This project, “AI- Based Health Data Information and Management System (AI-HDIMS)”, focuses on designing and implementing an intelligent system for collecting, storing, and analyzing health data in a centralized and efficient manner. The system utilizes modern technologies such as cloud-based databases and Artificial Intelligence to handle large-scale structured and unstructured health data. Al modules play a crucial role in processing and analyzing the data to generate meaningful insights such as health risk predictions, personalized diet and fitness recommendations, abnormal condition detection, and long-term health trend analysis. By integrating machine learning algorithms, the system enhances its ability to provide accurate and timely healthcare support. Al-HDIMS enables real-time monitoring of health parameters by performing operations such as data collection, validation, analysis, and visualization within the system. This improves performance and reduces the need for manual monitoring compared to traditional healthcare approaches. The system demonstrates how Al and data analytics can be effectively utilized in healthcare applications to improve efficiency, accuracy, and user engagement. Additionally, the system helps in identifying health patterns, tracking user progress, and providing preventive healthcare suggestions. It can be further extended to support advanced predictive analytics, remote healthcare services, and integration with loT- based medical devices. The system is designed to be scalable, secure, and user-friendly, ensuring its adaptability to increasing data and diverse user needs. By providing real-time insights and intelligent recommendations, AI-HDIMS supports better health management, enhances user awareness, and contributes to improved healthcare outcomes in the modern digital era.
Disclaimer: Curated by HT Syndication.
