Emerging technologies for health data analytics research: a conceptual architecture

Jing Lu
,
Malcolm Keech

Southampton Solent University

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

This paper gives a brief review of how emerging database technologies can be used to provide additional value from available health information such as electronic patient records. It is not only about the integration of technologies for data warehousing, OLAP analysis and data mining, but also the integration of data from various sources and how to share and connect the resources. The organisational structure of healthcare in the UK is illustrated before the Solent Health Informatics Partnership (SHIP) is introduced, highlighting the proposed conceptual architecture for data analytics in this context. The applicability of NoSQL and Big Data technologies is considered with an emphasis on data warehousing and mining approaches.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 225-229

Publication milestones

Published - 15/02/2016

Publication status

Published - 15/02/2016

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781467375825

External Publication IDs

handle.net: 10547/624498
Scopus: 84962259233

Host publication title

2015 26th International Workshop on Database and Expert Systems Applications (DEXA)