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This work presents a healthcare system for the elderly community, leveraging data analytics and the Internet of Things (IoT) to deliver necessary medical aid in a mobile environment. The proposed system, called Healthcare System for Elderly Community (HSEC), integrates IoT sensors and data analytics frameworks to provide real-time health monitoring and rapid medical response. The HSEC approach addresses the limitations of traditional Smart Home Healthcare System (SHHS) by ensuring continuous health data collection in a mobile environment, predictive analysis for early diagnosis, and timely delivery of healthcare services. Experimental results demonstrate significant reductions in response time and transaction delays, enhancing the overall efficiency and effectiveness of healthcare delivery for elderly patients. This system represents a significant advancement in mobile healthcare, offering a scalable and cost-effective solution to improve the quality of life for the elderly through innovative technology and data-driven insights. In future, the work can be extended to ensure timely delivery of medical supplies via Unmanned Aerial Vehicles (UAVs) to the location where elderly patient fell sick.

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Healthcare Network System for Elderly Community Based on Data Analytics and the Internet of Things

  • 会议论文

  • 发表日期：

    2026年

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  • Azath Mubarakali,
  • Subash Chandra Bose Jaganathan,
  • K. Veningston,
  • L. Harish,
  • Tejas Balamukesh,
  • S. Dhananchezhiyan,
  • K. Khogula Kannan,
  • K. S. Ridhun

摘要

This work presents a healthcare system for the elderly community, leveraging data analytics and the Internet of Things (IoT) to deliver necessary medical aid in a mobile environment. The proposed system, called Healthcare System for Elderly Community (HSEC), integrates IoT sensors and data analytics frameworks to provide real-time health monitoring and rapid medical response. The HSEC approach addresses the limitations of traditional Smart Home Healthcare System (SHHS) by ensuring continuous health data collection in a mobile environment, predictive analysis for early diagnosis, and timely delivery of healthcare services. Experimental results demonstrate significant reductions in response time and transaction delays, enhancing the overall efficiency and effectiveness of healthcare delivery for elderly patients. This system represents a significant advancement in mobile healthcare, offering a scalable and cost-effective solution to improve the quality of life for the elderly through innovative technology and data-driven insights. In future, the work can be extended to ensure timely delivery of medical supplies via Unmanned Aerial Vehicles (UAVs) to the location where elderly patient fell sick.