Healthcare Information System Architecture Design Based on Big Data

DOI

10.2991/amcce-17.2017.10How to use a DOI?

Keywords

Big data, information system, healthcare.

Abstract

The rapid development of medical information leads to the exponential increase of medical data. Medical big data has brought huge pressure to the existing hospital information systems. With the emerging of various kinds of unstructured data, the existing medical information system fails to meet the requirements of large data in storage space, storage speed, and storage structure, so it has to partially discard data, resulting in the loss of valuable medical data. However, the data integrity of the existing system is not enough, and the data processing speed is slow, hence it is obviously unable to meet the needs of users on data processing efficiency. Based on this, this paper puts forward the structure of intelligent medical system for large data, and analyzes the infrastructure layer, the information processing layer and the service provider layer of the three aspects.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zifan Zhang
PY  - 2017/03
DA  - 2017/03
TI  - Healthcare Information System Architecture Design Based on Big Data
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 61
EP  - 64
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.10
DO  - 10.2991/amcce-17.2017.10
ID  - Zhang2017/03
ER  -