Emerging technologies for health data analytics research: a conceptual architecture

Jing Lu; Malcolm Keech

doi:10.1109/DEXA.2015.58

Emerging technologies for health data analytics research: a conceptual architecture

Jing Lu
, Malcolm Keech

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	225-229
ISBN (Print)	9781467375825
DOIs	https://doi.org/10.1109/DEXA.2015.58
Publication status	Published - 15 Feb 2016
Event	26th International Workshop on Database and Expert Systems Applications (DEXA) - Valencia Duration: 1 Sept 2015 → 4 Sept 2015

Conference

Conference	26th International Workshop on Database and Expert Systems Applications (DEXA)
City	Valencia
Period	1/09/15 → 4/09/15
Other	26th International Workshop on Database and Expert Systems Applications (DEXA) (01/09/2015-04/09/2015, Valencia)

Keywords

Big Data
Health informatics
NoSql
data mining
data warehousing
database technologies
e-Health

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https://ieeexplore.ieee.org/document/7406297

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@inproceedings{cf93d8fde2024a929c1d2a3a9145797e,

title = "Emerging technologies for health data analytics research: a conceptual architecture",

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.",

keywords = "Big Data, Health informatics, NoSql, data mining, data warehousing, database technologies, e-Health",

author = "Jing Lu and Malcolm Keech",

year = "2016",

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day = "15",

doi = "10.1109/DEXA.2015.58",

language = "English",

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pages = "225--229",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "26th International Workshop on Database and Expert Systems Applications (DEXA) ; Conference date: 01-09-2015 Through 04-09-2015",

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AU - Lu, Jing

AU - Keech, Malcolm

PY - 2016/2/15

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N2 - 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.

AB - 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.

KW - Big Data

KW - Health informatics

KW - NoSql

KW - data mining

KW - data warehousing

KW - database technologies

KW - e-Health

U2 - 10.1109/DEXA.2015.58

DO - 10.1109/DEXA.2015.58

M3 - Conference contribution

SN - 9781467375825

SP - 225

EP - 229

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th International Workshop on Database and Expert Systems Applications (DEXA)

Y2 - 1 September 2015 through 4 September 2015

ER -

Emerging technologies for health data analytics research: a conceptual architecture

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Keywords

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