smart healthcare data to improve the efficiency using cloud computing framework

Publication Type: Edited Book

Book Name: Futuristic Trends in IOT V3B8
Authors: Dr. D. Naga Ravikiran, Dr. Neelima Guntupalli, Dr. Vasantha Rudramalla, Sai Srinivasvellela
Keywords: Cloud Computing, E-Healthcare management system, Electronic Health Records.
Area/Stream: SENSORS, IoT & SMART SYSTEMS / Other /
Published in: IIP Series
Volume: 3, Month:May,Year:2023
Page No.: 117-126
e-ISBN: 978-93-6252-960-2
DOI: https://www.doi.org/10.58532/V3BAIO8P5CH1

Abstract:

Cloud computing technologies have developed the healthcare sector in recent years. It consists of on-demand services for storage, computing power, servers, networking, applications, and various other IT resources that are based on the Internet. A number of privacy and security issues, such as authentication, authorization, inference manage, controls over access, confidentiality of information, cloud-based medical data abuse, and integrity, are brought up by the transition from offline to online computing as medical technology progresses. A trustworthy and effective security and data protection solution is therefore needed for a cloud-based e-healthcare system. As a result, the data's trustworthiness and secrecy are maintained by this structure of protection. It also makes sure that only those who have been given permission can view their individual medical records. In addition, privacy issues are resolved and a safe healthcare system is maintained. This system protects against inference attacks on the sensitive data. The system also speeds up response times, stores patient profiles, and helps patients make the best medical decisions.

Cite this: Dr. D. Naga Ravikiran, Dr. Neelima Guntupalli, Dr. Vasantha Rudramalla, Sai Srinivasvellela, SMART HEALTHCARE DATA TO IMPROVE THE EFFICIENCY USING CLOUD COMPUTING FRAMEWORK, In: Futuristic Trends in IOT V3B8, IIP Series, Volume 3, May, 2023, pp. 117-126, Iterative International Publishers IIP, E-ISBN: 978-93-6252-960-2, DOI: https://www.doi.org/10.58532/V3BAIO8P5CH1

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