Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape

IoT and Cloud Convergence in Healthcare: An Exploration Analysis

Author(s): Moushita Patnaik and Sushruta Mishra * .

Pp: 140-173 (34)

DOI: 10.2174/9789815079272122010009

* (Excluding Mailing and Handling)


IoT and cloud are the fastest growing technologies today. The convergence of IoT and cloud opens up various new horizons. In the last few years, this convergence of IoT and cloud architecture has dominated not only the research field but also the business sector. The compatibility of these two entirely versatile ideas is their ability to manage the app, user interfaces, and the data stream simultaneously, especially in a high-performance support structure. But along with the advantages comes some disadvantages as well. The major concerns in the IoT - cloud convergence are privacy and security. Therefore, confidentiality must be maintained at all costs. The chapter discusses some prime benefits of IoT and cloud convergence issues and also the challenging concerns of those. This chapter discusses the issues concerned with IoT - cloud convergence and possible solutions to overcome those issues. Later privacy issues of IoT are presented. Then, a case study denoting a pathology tracking model using big data analytics is presented in detail. 

Keywords: Big data, Cloud, Extreme Learning Machine, Healthcare, Internet of Things (IoT), Voice Pathology.

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