Abstract
In the last decades big data has facilitating and improving our daily duties in the medical research and clinical fields; the strategy to get to this point is understanding how to organize and analyze the data in order to accomplish the final goal that is improving healthcare system, in terms of cost and benefits, quality of life and outcome patient. The main objective of this review is to illustrate the state-of-art of big data in healthcare, its features and architecture. We also would like to demonstrate the different application and principal mechanisms of big data in the latest technologies known as blockchain and artificial intelligence, recognizing their benefits and limitations. Perhaps, medical education and digital anatomy are unexplored fields that might be profitable to investigate as we are proposing. The healthcare system can be revolutionized using these different technologies. Thus, we are explaining the basis of these systems focused to the medical arena in order to encourage medical doctors, nurses, biotechnologies and other healthcare professions to be involved and create a more efficient and efficacy system.
Highlights
In the past decades, big data was based on the length and complexity of the information, essentially catalogued as information that cannot be stored nor analyzed by traditional means due to its enormous dimensions andThis work is licensed under the Creative Commons2 | R.-G
There has been growing potential usefulness of massive quantities of data, and its use, in transforming personal care, clinical care and health using artificial intelligence, blockchain and machine learning, with this context, the purpose of the present work is to review the usefulness of big data in the context of healthcare applications with the aim of encouraging the reader in the development and promotion of these technologies in the healthcare field, an issue that today is a reality and that encourages the use of multiple technologies for the search (Table 1)
Three modules are contained in this layer: (I) The master data management module assures the immediacy, completeness, accuracy and availability of master data by standardizing, removing and integrating data. (II) The data life cycle management module is a continuous method for keeping the data accurateness over time
Summary
Big data was based on the length and complexity of the information, essentially catalogued as information that cannot be stored nor analyzed by traditional means due to its enormous dimensions and. There has been growing potential usefulness of massive quantities of data, and its use, in transforming personal care, clinical care and health using artificial intelligence, blockchain and machine learning, with this context, the purpose of the present work is to review the usefulness of big data in the context of healthcare applications with the aim of encouraging the reader in the development and promotion of these technologies in the healthcare field, an issue that today is a reality and that encourages the use of multiple technologies for the search (Table 1) It is the method of extracting useful information from huge datasets [4]. It is the most important feature of big data, in which several institutions and enterprises invest the most in order to generate knowledge and incomes [6]
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