Systematic review on ai-blockchain based e-healthcare records management systems

• Main Authors: Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad
• Format: Article
• Language: English; English; English
• Published: IEEE 2022
• Subjects: TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/100064/2/Systematic_Review_on_AI-Blockchain_Based_E-Healthcare_Records_Management_Systems%20%282%29.pdf; http://irep.iium.edu.my/100064/9/Systematic%20Review%20on%20AI-Blockchain%20Based%20E-Healthcare%20Records%20Management%20System_scopus.pdf; http://irep.iium.edu.my/100064/10/100064_wos.pdf; http://irep.iium.edu.my/100064/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9868006

Electronic health records (EHRs) are digitally saved health records that provide information about a person's health. EHRs are generally shared among healthcare stakeholders, and thus are susceptible to power failures, data misuse, a lack of privacy, security, and an audit trail, among other pr...