Archive System Using Big Data for Health care: Analysis, Architecture, and Implementation

Abstract

In the era of digitalization, since the last few decades, we have seen the advancements of technology in all the domains, and health care does not remain in situ. With the growing medical science field, the growth of the EMRs/EHRs skyrockets the growth of data. Hence, storing the patients’ data and reports has become an ache this day. This is often too large and heterogeneous, and changes are often to be stored, processed, and transformed into the required form, thus resulting in a lack of memory storage, processing power and bandwidth for transmission of the data. So hospitals are now lapsing into a dilemma for buying more storage and more processing power for preserving the patients’ data. The patients’ data not only includes textual data but also images, videos, and different files. This data can vary from patient to patient and differs from one hospital to another. In this paper, we will be talking about the room for the big data technology and data compression in the fields of medicine and healthcare by reduction in storage consumption, cleaning, and formatting the patients’ data. We can furthermore use this clean data for research and analytical purposes. Therefore, we will be proposing an architecture for the Patient Data Archiving System including Big data technologies and data compression technique through this paper.