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Patient-centric Data Warehouse Design---An Empirical Study Applied in Diabetes care

Authors:
Lichin Chen
Chiou-Shiang Wang
I-Ching Wang
Hui-Chu Yu
Hui-Yu Peng
Hui-Chuen Chen
Chia-Hsiun Chang
Tien-Jyun Chang
Yi-Der Jiang
Lee-Ming Chuang
Feipei Lai

Keywords: Data warehouse; diabetes; diabetes self-management education; data integration

Abstract:
There are many healthcare settings dedicated for different diseases and treatments. As the information of the patients is collected in different healthcare settings, there is an opportunity to reveal further knowledge and understanding of the patients when the information is integrated. However, the services and evaluation are often isolated. The aim of this research is to design a data warehouse based on a patient-centric vision and to integrate the data to enable inner knowledge exploration. The design is initially applied in the case of diabetes. This study initially integrated the data of regular visits and telehealthcare program of diabetes care, and the data of 61 patients, who participates in both service settings, are collected. The results show that the data inputted by the patients outside the medical institutes are reliable and do represent patient’s conditions. The potential value of the data warehouse is promising, and it is valuable to integrate the data across healthcare settings based on a patient-centric vision.

Pages: 43 to 47

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-4383

ISBN: 978-1-61208-335-3

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014