What refers to the management of large volumes

What do we know about clinical trials? Few non-specialists will dare to at least outline in general terms what it is. And meanwhile, we all use their results, buying and using medicines, food supplements and cosmetics. None of this would ever appear on the shelves and enter into interaction with our body without preliminary tests – trials on humans. It is clear that such field of activity is very sensitive, including in addition to technical and scientific issues a lot of ethical related questions about integrity and confidentiality of these participants, their signing of a qualified informed agreement for participation, access of third parties to research results, protection from errors and unfair actions.In this regard, the research community is increasingly interested in implementing the blockchain technology. It seems attractive as it is a database where records are kept in chronological order and can not be modified afterwards – all changes are made in the form of new records. In addition, the full copies of the database exist on the computers of each of its users. At certain time intervals, all copies are automatically compared to each other for identity. That’s why any attempts to manipulate information on a separate computer lose any sense – this will be immediately revealed by the system.Three pharmaceutical brands—Pfizer, Amgen, and Sanofi—are already working together to integrate blockchains to speed up their clinical trials of new medicaments, according to CoinDesk.Blockchain & Big DataBig Data refers to the management of large volumes of data, as well as their analysis. Generally, it is information that can not be processed by classical methods because of its huge volumes.However, it is impossible to say with certainty that Big Data is some fundamentally new phenomenon – on the contrary, large data sources have existed for many years. Analysts have been using this data to help companies anticipate future customer needs, assess risks, form consumer preferences, and so on.In the field of information security, Big Data faces the following challenges:problems of data protection and ensuring their integrity;risk of extraneous interference and leakage of confidential information;improper storage of confidential information;the risk of information loss, for example, due to someone else’s malicious actions;the risk of misuse of personal data by third parties, etc.Information is a valuable asset, which means that in the foreground should be the issue of ensuring the basic aspects of information security. Tandem of Blockchain and Big Data can be successfully used in healthcare. It is well known that imperfect and incomplete data on the patient’s health at times increase the risk of misdiagnosis and incorrectly prescribed treatments. Critical data about the health of clients of medical institutions should be as secure as possible, possess the properties of immutability, be verifiable and should not be subject to any manipulation.Information in the blockchain protocol meets all of the requirements above and can serve as a quality and reliable data source for in-depth analysis with the help of new Big Data technologies. In addition, with the help of the blockchain, medical institutions could exchange reliable data with insurance companies, scientific institutions and other organizations that need medical information on a big scale. Blockchain & Connected Objects (IoT) Eugene Nayshtetik, President at Planexta Inc, and his team are currently developing a new platform for remote diagnostic and real-time health monitoring. A Portable medical device will be worn by a patient and will record different health parameter (depending on initial health condition). All this data will be processed in two steps:Primary algorithmArtificial IntelligenceThe objective is to identify any deviation from a norm and systematize a report for a doctor, starting from the most urgent cases that need an immediate intrusion. The fact that report has been sent will be automatically recorded in the blockchain, as well as doctor’s actions: opening report, making or not some corrections, contacting patience/insurance, etc.  Ideally 1 doctor could monitor from 300 to 500 patients. For this particular case the role of blockchain is to build trustful and transparent relationship between a patient, a doctor and an insurance. Besides, the company will provide tokens among the doctors, as a reward for some additional tasks they might do – control and correct prescriptions of their colleagues, leave additional recommendations, participate in medical conciliums, etc. ” Blockchain will be a