Journal of Cybersecurity and Information Management
  JCIM
  2690-6775
  2769-7851
  
   10.54216/JCIM
   https://www.americaspg.com/journals/show/2839
  
 
 
  
   2019
  
  
   2019
  
 
 
  
   Secure Medical Records Through Big Data Analytics and Blockchain
  
  
   Department of Information Technology Majmaah University, Majmaah, Saudi Arabia
   
    Hamad
    Hamad
   
   Department of Computer Engineering Majmaah University, Majmaah, Saudi Arabia
   
    Shailendra
    ..
   
   Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, 208016, India
   
    Aditi
    Singh
   
  
  
   As healthcare shifts to digital platforms, the healthcare sector is suffering from multiple security vulnerabilities that make it vulnerable to various types of cyberattacks. Therefore, robust security solutions need to be implemented to resolve these vulnerabilities. In this context, blockchain technology has emerged as a promising solution in several sectors, including the healthcare sector. This study harnesses blockchain technology to improve medical record management. By integrating blockchain, we address issues like data breaches and inefficient data sharing. The proposed study ensures a seamless health record exchange that is secure, transparent, and beneficial to both patients and healthcare providers. The goal of this study is to empower patients to be more in control of their data while streamlining processes and enhancing security for healthcare institutions. Medical records are increasingly secure, interoperable, and accessible when blockchain technology and big data are used. According to the study, healthcare workers recognize the importance of protecting medical records through blockchain technology and big data, which can improve security, interoperability, and accessibility. This minimizes concerns related to data manipulation while providing a more cost-effective and efficient method of managing medical records. Medical records management is made more cost-effective and efficient by reducing concerns related to data manipulation.
  
  
   2024
  
  
   2024
  
  
   50
   63
  
  
   10.54216/JCIM.140104
   https://www.americaspg.com/articleinfo/2/show/2839