Vol. 3 No. 1 (2023): Hong Kong Journal of AI and Medicine
Articles

IoT-Based Real-Time Health Monitoring Systems for Disaster Response

Dr. Wei Li
Professor, AI in Healthcare, Eastern University, Beijing, China
Cover

Published 17-04-2023

Keywords

  • IoT,
  • health monitoring,
  • disaster response,
  • real-time,
  • medical assistance

How to Cite

[1]
Dr. Wei Li, “IoT-Based Real-Time Health Monitoring Systems for Disaster Response”, Hong Kong J. of AI and Med., vol. 3, no. 1, pp. 1–11, Apr. 2023, Accessed: Sep. 18, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/6

Abstract

This paper explores the application of IoT-based real-time health monitoring systems in disaster response scenarios. The integration of IoT technologies in healthcare has the potential to significantly enhance the efficiency and effectiveness of medical assistance during disasters. The paper discusses the challenges and opportunities associated with implementing these systems and presents case studies to illustrate their real-world impact. Additionally, it examines the future prospects of IoT in disaster response and suggests recommendations for further research and development.

Downloads

Download data is not yet available.

References

  1. Reddy, Byrapu, and Surendranadha Reddy. "Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3871-3877.
  2. Venigandla, Kamala, et al. "Leveraging AI-Enhanced Robotic Process Automation for Retail Pricing Optimization: A Comprehensive Analysis." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 361-370.