Challenges in managing real-time data in health information system (HIS)

Document Type

Conference Proceeding

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2016

Abstract

© Springer International Publishing Switzerland 2016. In this paper, we have discussed the challenges in handling real-time medical big data collection and storage in health information system (HIS). Based on challenges, we have proposed a model for realtime analysis of medical big data. We exemplify the approach through Spark Streaming and Apache Kafka using the processing of health big data Stream. Apache Kafka works very well in transporting data among different systems such as relational databases, Apache Hadoop and nonrelational databases. However, Apache Kafka lacks analyzing the stream, Spark Streaming framework has the capability to perform some operations on the stream. We have identified the challenges in current realtime systems and proposed our solution to cope with the medical big data streams.

ISBN

9783319396002

ISSN

0302-9743

Publisher

Springer Verlag

Volume

9677

First Page

305

Last Page

313

Disciplines

Computer Sciences

Keywords

Health-care information system (HIS), Kafka messaging, Stream processing framework

Scopus ID

84976614280

Indexed in Scopus

yes

Open Access

no

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