Vol. 3 No. 2 (2023): Journal of Deep Learning in Genomic Data Analysis
Articles

IoT-enabled Telemedicine Platforms for Remote Consultations: Designs IoT-enabled platforms to facilitate remote consultations between healthcare providers and patients

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  • Dr. Eleni Antoniou
Dr. Eleni Antoniou
Professor of Bioinformatics, University of Cyprus
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Published 08-11-2023

Keywords

  • Telemedicine,
  • IoT,
  • Remote Consultations,
  • Secure Platforms,
  • Vital Signs Monitoring
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Eleni Antoniou, “IoT-enabled Telemedicine Platforms for Remote Consultations: Designs IoT-enabled platforms to facilitate remote consultations between healthcare providers and patients”, Journal of Deep Learning in Genomic Data Analysis, vol. 3, no. 2, pp. 47–58, Nov. 2023, Accessed: Nov. 14, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/49

Abstract

This research paper explores the design and implementation of IoT-enabled telemedicine platforms for remote consultations between healthcare providers and patients. Telemedicine has gained significant attention in recent years, particularly with the advent of IoT technologies, offering new possibilities for remote healthcare delivery. The paper discusses the benefits and challenges of IoT in telemedicine, highlighting the need for secure, efficient, and user-friendly platforms. A prototype platform is presented, demonstrating how IoT devices can be integrated to enable seamless remote consultations. The platform includes features such as real-time video conferencing, vital signs monitoring, and electronic health record access, enhancing the quality and convenience of remote healthcare services. Overall, the paper emphasizes the potential of IoT-enabled telemedicine platforms to improve healthcare access and delivery, especially in remote or underserved areas.

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