Abstract
The concept of big data is now treated from different points of view covering its implications in many fields remarkably including healthcare. To achieve the wealth of health information, integrating, sharing and availing data are the essential tasks that ultimately demand the concept of distributed system. However, privacy and security of data are the matter of concern, as data need to be accessed from various locations in the distributed system. The present study first provides a broad overview on big data and the effectiveness of healthcare big data for non-expert readers. Then, this article builds a distributed framework of organized healthcare model for the purpose of protecting patient data.
Highlights
The concept of ‘big data’ is not new; the way it is defined is constantly changing
Big data analytics is recognised as a multidisciplinary information processing system in the areas like business, government, media, education and healthcare
Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs
Summary
The concept of ‘big data’ is not new; the way it is defined is constantly changing. The information stored in health database has enhanced over the past ten years, leading it to be considered big data. Such an issue mainly arises due to the use of cloud (i.e., distributed) computing architecture in HIS because cloud hosts the patient information and provides different services to the authorized users.
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