The development of wearable technology and mobile computing leads to the generation of huge amounts of personal data. Every second, many data related to health is being created and amassed continuously. As these personal datasets include important information about the users, they have to be treated as an asset for these users. Also they have to be controlled and managed by the person who generated those data. Many service providers have been established to manage these datasets and to keep them safe. These service providers project the problems for data security and prevent data exchange. These individual health records are very important sources. In this paper, we exhibit a theoretical approach for sharing continuously dynamic personal health data leveraging block chain technology and cloud storage to share health-related data in an open and secure way. In addition, to have control over data quality, we also develop a data quality inspection module based on machine learning approaches The proposed system's main objective is to give users the ability to possess, manage and share their personal health data in a secured way that go along with the General Data Protection Regulation (GDPR) additionally, it gives users of commercial data and researchers an effective approach to get high-quality personal health data for both of those things