Interactive Learning for Patient Care: Blockchain Ingrained Electronic Health Record Management System with Patient Control, Data Quality and Security Assurance

Objective: With the advent of healthcare specific multi-sensory applications and mobile-computing, a huge amount of data is being produced and accumulated periodically. This data not only requires accuracy but also the necessity to maintain its authenticity, security and access control. However the well-established cryptographic algorithms are capable enough to manage the security aspect, but somehow lacking to preserve the authenticity alone with digital-signatures and hash functions. The aforementioned problems concerning healthcare data have been gaining attention for years, and now the emerging blockchain technology is contributing to cope up with such situations by providing ingenious solutions. Another problem on healthcare data is related to access control which also requires astute solutions too, as this data belongs to patients and a patient should be the only entity who can decide, to what extent?, to whom?, this private information to be disclosed with privacy preservation. Now, in this paper a blockchain and cloud-based conceptual design for personal health record management system with patient control is proposed, in order to conquer existing problems in the healthcare industry on patient’s medical records. The computational intensiveness will be managed with machine learning strategies. Method: To articulate a patient centric design for secure preservation and efficient access of electronic health records, blockchain technology along with cloud platform incorporated in this design. In order to maintain the quality of records advent machine learning classification technique namely tranformers also used. Result: The design of electronic health records management system is proposed in this work, following with prototype building with Azure cloud platform. Conclusion: The work elucidated the prime limitations of electronic health records management schemes, and proposed a design which will help against hindrances for efficient, cost-effective, easy-to-use, secure and less intensive solution.