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

  • Suraj Tekchandani
  • Jigar ShahEmail author
  • Archana SinghEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 52)


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.


Big data Cassandra ETL PACS Storage techniques PostgreSQL CQL Clustering Network topology Image processing Image compression DICOM Feature extraction Analytics Health care Framework Methodology 



We are grateful to Dr. Arvind Sharma, Zydus Hospital, Ahmedabad, and Dr. Gargey Sutaria, Shably Hospital, Ahmedabad, for the provision of expertise and technical support providing necessary guidance concerning the research. Without their superior knowledge and experience, the research would lack in quality of outcomes, and thus, their support has been essential.


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Birla Institute of Technology and SciencePilaniIndia
  2. 2.Gandhinagar Institute of TechnologyKalolIndia

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