HDI: Integrated services for health data

D. P. Hansen; C. Pang; A. Maeder

doi:10.1109/ICMLC.2005.1527926

HDI: Integrated services for health data

D. P. Hansen, C. Pang, A. Maeder

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

2 Citations (Scopus)

Abstract

Health systems around the world are moving to use health data sources to improve the efficiency of their services. However, major technical and legal questions exist concerning data integration, data quality, data security and privacy in health data usage. In this paper, we discuss the Health Data Integration™ (HDI™) solution currently being developed at the e-Health Research Centre. Firstly we describe the architecture of HDF™ and how it performs the tasks of knowledge based medical system. We then consider two of its core capabilities (1) privacy-preserving similarity linkage, and (2) on-line analytical techniques and report generator component. The e-Health Research Centre is currently working with the Queensland Health department to deploy the software in practice.

Original language	English
Title of host publication	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages	5554-5559
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLC.2005.1527926
Publication status	Published - 12 Dec 2005
Externally published	Yes
Event	International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

Conference	International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	18/08/05 → 21/08/05

Keywords

Information retrieval
Intelligent DSS
Knowledge based medical system

Access to Document

10.1109/ICMLC.2005.1527926Licence: In Copyright

Cite this

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title = "HDI: Integrated services for health data",

abstract = "Health systems around the world are moving to use health data sources to improve the efficiency of their services. However, major technical and legal questions exist concerning data integration, data quality, data security and privacy in health data usage. In this paper, we discuss the Health Data Integration{\texttrademark} (HDI{\texttrademark}) solution currently being developed at the e-Health Research Centre. Firstly we describe the architecture of HDF{\texttrademark} and how it performs the tasks of knowledge based medical system. We then consider two of its core capabilities (1) privacy-preserving similarity linkage, and (2) on-line analytical techniques and report generator component. The e-Health Research Centre is currently working with the Queensland Health department to deploy the software in practice.",

keywords = "Information retrieval, Intelligent DSS, Knowledge based medical system",

author = "Hansen, {D. P.} and C. Pang and A. Maeder",

year = "2005",

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pages = "5554--5559",

booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",

}

Hansen, DP, Pang, C & Maeder, A 2005, HDI: Integrated services for health data. in 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, pp. 5554-5559, International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 18/08/05. https://doi.org/10.1109/ICMLC.2005.1527926

TY - GEN

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T2 - International Conference on Machine Learning and Cybernetics, ICMLC 2005

AU - Hansen, D. P.

AU - Pang, C.

AU - Maeder, A.

PY - 2005/12/12

Y1 - 2005/12/12

N2 - Health systems around the world are moving to use health data sources to improve the efficiency of their services. However, major technical and legal questions exist concerning data integration, data quality, data security and privacy in health data usage. In this paper, we discuss the Health Data Integration™ (HDI™) solution currently being developed at the e-Health Research Centre. Firstly we describe the architecture of HDF™ and how it performs the tasks of knowledge based medical system. We then consider two of its core capabilities (1) privacy-preserving similarity linkage, and (2) on-line analytical techniques and report generator component. The e-Health Research Centre is currently working with the Queensland Health department to deploy the software in practice.

AB - Health systems around the world are moving to use health data sources to improve the efficiency of their services. However, major technical and legal questions exist concerning data integration, data quality, data security and privacy in health data usage. In this paper, we discuss the Health Data Integration™ (HDI™) solution currently being developed at the e-Health Research Centre. Firstly we describe the architecture of HDF™ and how it performs the tasks of knowledge based medical system. We then consider two of its core capabilities (1) privacy-preserving similarity linkage, and (2) on-line analytical techniques and report generator component. The e-Health Research Centre is currently working with the Queensland Health department to deploy the software in practice.

KW - Information retrieval

KW - Intelligent DSS

KW - Knowledge based medical system

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U2 - 10.1109/ICMLC.2005.1527926

DO - 10.1109/ICMLC.2005.1527926

M3 - Conference contribution

AN - SCOPUS:28444469211

SN - 0780390911

SN - 9780780390928

T3 - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

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EP - 5559

BT - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Y2 - 18 August 2005 through 21 August 2005

ER -

HDI: Integrated services for health data

Abstract

Publication series

Conference

Keywords

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