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Revolutionizing Healthcare: IoT Powered Telemedicine Advancements
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Author(s): Venkat Narayana Rao T. (Sreenidhi Institute of Science and Technology, India), M. Stephen (Sreenidhi Institute of Science and Technology, India)and Rohan Kolachala (Sreenidhi Institute of Science and Technology, India)
Copyright: 2025
Pages: 28
Source title:
Scalable Modeling and Efficient Management of IoT Applications
Source Author(s)/Editor(s): Dharmendra Singh Rajput (Vellore Institute of Technology, India), Gotam Singh Lalotra (Government Degree College, Basohli, India), Vinod Kumar (Koneru Lakshmaiah Education Foundation, Guntur, India), Pushpendra Kumar (Central University of Jharkhand, India)and Harshita Patel (Vellore Institute of Technology, India)
DOI: 10.4018/979-8-3693-1686-3.ch003
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Abstract
In an age where healthcare and telemedicine have never been more crucial, the rise of IoT has enhanced free use of healthcare systems around the world. This is accomplished by improving the decision making with the help of accessible data, ensuring that monitoring and consultation of patients is carried out by remote means. In order to efficiently use IoT in healthcare, scalable modelling and effective management of the application plays a critical role. Scalable modelling in healthcare and telemedicine involves the development of systems and that can flexibly respond to changing needs, induce quality, accessibility, and value-for-money. Management of IoT applications in healthcare comes with many challenges such as handling patient data on time, secured medical data, remote, ensure proper amount of medicine is taken by the patient, disease tracking, etc. This chapter aims to guide the readers to understand and develop their own frameworks for the scalable models which adapt to the needs in healthcare and enable readers to explore the potential of IoT in telemedicine.
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