Block Chain and Distributed Computing Aided with Cloud Technology- A Specific Reference to Security Issues of Healthcare Industry

There has been a significant uptick in the need for user-centric electronic records to save the many characteristics of a patient's medical history as they are recorded at a hospital during treatment and to make those records available as and when they are needed for future treatment, care, or invoicing. Blockchain technology allows us to save these data on a distributed ledger, allowing us to begin and enable use at breakneck speeds while still maintaining a transparent and secure system. To save records safely and in an interoperable fashion, a distributed system with ledger functionality is used. Block chain technology has the potential to revolutionize the way digital assets are transacted by removing the need for a trusted third party to authenticate data authenticity, record asset ownership, or mediate financial or data transactions. Immutability, decentralisation, and transparency are three of its defining characteristics, making it well suited to resolving pressing problems in the healthcare industry, such as the lack of comprehensive peer-to-peer files and the inability to easily access patients' medical histories. Health care systems that are efficient and successful depend on interoperability, the capacity of different health organisations and manufacturers of different software products to connect and share data in a safe and smooth manner. Many problems in modern healthcare can be traced back to a lack of interoperability, such as siloed data, sluggish communications, and different workflow tools. To address this, it is recommended to implement a system that provides secure, pseudo-anonymous access to complete, recognised longitudinal medical records stored in silos. In this article, we conducted a system overview and literature review of block chain technology in a fog computing environment, both of which are capable of processing vast amounts of data in a decentralised fashion. Our in-progress experimental study reveals weaknesses in existing systems and foreshadows directions for future investigation.