With the advent of health-care 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 health-care 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 health-care 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 health-care industry on patient's medical records. The computational intensiveness will be managed with machine learning strategies.