A survey on blockchain security for electronic health record

A survey on blockchain security for electronic health record

연구 분야: Safety

학회: Multimedia Tools and Applications

Numerous healthcare organizations maintain track of the patients’ medical information with an Electronic Health Record (EHR). Nowadays, patients demand instant access to their medical records. Hence, Deep Learning (DL) methods are employed in electronic healthcare sectors for medical image processing and smart supply chain management. Various approaches are presented for the protection of healthcare data of patients using blockchain however, there are concerns regarding the security and privacy of patient medical records in the health industry, where data can be accessed instantly. The blockchain-based security with DL approaches helps to solve this problem and there is a need for improvements on the DL-based blockchain methods for privacy and security of patient data and access control strategies with developments in the supply chain. The survey provides a clear idea of DL-based strategies used in electronic healthcare data storage and security along with the integrity verification approaches. Also, it provides a comparative analysis to demonstrate the effectiveness of various blockchain-based EHR handling techniques. Moreover, future directions are provided to overcome the existing impact of various techniques in blockchain security for EHRs.