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Published in: Journal of Medical Systems 4/2012

01-08-2012 | Original Paper

A Data-Mining Framework for Transnational Healthcare System

Authors: Chia-Ping Shen, Chinburen Jigjidsuren, Sarangerel Dorjgochoo, Chi-Huang Chen, Wei-Hsin Chen, Chih-Kuo Hsu, Jin-Ming Wu, Chih-Wen Hsueh, Mei-Shu Lai, Ching-Ting Tan, Erdenebaatar Altangerel, Feipei Lai

Published in: Journal of Medical Systems | Issue 4/2012

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Abstract

Medical resources are important and necessary in health care. Recently, the development of methods for improving the efficiency of medical resource utilization is an emerging problem. Despite evidence supporting the use of order sets in hospitals, only a small number of health information systems have successfully equipped physicians with analysis of complex order sequences from clinical pathway and clinical guideline. This paper presents a data-mining framework for transnational healthcare system to find alternative practices, including transfusion, pre-admission tests, and evaluation of liver diseases. However, individual countries vary with respect to geographical location, living habits, and culture, so disease risks and treatment methods also vary across countries. To realize the difference, a service-oriented architecture and cloud-computing technology are applied to analyze these medical data. The validity of the proposed system is demonstrated in including Taiwan and Mongolia, to ensure the feasibility of our approach.
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Metadata
Title
A Data-Mining Framework for Transnational Healthcare System
Authors
Chia-Ping Shen
Chinburen Jigjidsuren
Sarangerel Dorjgochoo
Chi-Huang Chen
Wei-Hsin Chen
Chih-Kuo Hsu
Jin-Ming Wu
Chih-Wen Hsueh
Mei-Shu Lai
Ching-Ting Tan
Erdenebaatar Altangerel
Feipei Lai
Publication date
01-08-2012
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 4/2012
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-011-9729-7

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