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Intelligent IoT-Based Healthcare System Using Blockchain

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Ambient Intelligence in Health Care

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 317))

Abstract

It has seen an inescapable interest in medical services issues and quicker and more secure assistance for patients. Using the new pattern innovations in the healthcare area could offer other option courses in dealing with the patients' healthiness records and furthermore improve the health quality. Researchers are looking for permanent and easy ways for monitoring patient’s records remotely by means of a patient monitor system. The utilization of the Internet of Things (IoT) is one of these methods where remote patient monitoring by healthcare providers is possible. However, issues in privacy and security have arisen due to the rise in the number of IoT devices. Discloser of patient data is another privacy issue. In various studies, it was presented that blockchain technology is a trustworthy network that ensures the privacy and security issues of patient information transferred through IoT devices. Subsequently, this segment traces the IoT advancement in the healthcare segment as a rising exploration and beneficial trend these days. This investigation endeavors to introduce another outline that works with the restoration and transferring of patient information using blockchain through Django by consolidating healthiness records with a patient monitoring system that exchanges data within multiple peers through a smart contract.

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Correspondence to Sasmita Padhy .

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Dash, S., Padhy, S., Azad, S.M.A.K., Nayak, M. (2023). Intelligent IoT-Based Healthcare System Using Blockchain. In: Swarnkar, T., Patnaik, S., Mitra, P., Misra, S., Mishra, M. (eds) Ambient Intelligence in Health Care. Smart Innovation, Systems and Technologies, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-19-6068-0_30

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  • DOI: https://doi.org/10.1007/978-981-19-6068-0_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6067-3

  • Online ISBN: 978-981-19-6068-0

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