Literature DB >> 17946647

An integrated healthcare enterprise information portal and healthcare information system framework.

S L Hsieh1, Feipei Lai, P H Cheng, J L Chen, H H Lee, W N Tsai, Y C Weng, S H Hsieh, K P Hsu, L F Ko, T H Yang, C H Chen.   

Abstract

The paper presents an integrated, distributed Healthcare Enterprise Information Portal (HEIP) and Hospital Information Systems (HIS) framework over wireless/wired infrastructure at National Taiwan University Hospital (NTUH). A single sign-on solution for the hospital customer relationship management (CRM) in HEIP has been established. The outcomes of the newly developed Outpatient Information Systems (OIS) in HIS are discussed. The future HEIP blueprints with CRM oriented features: e-Learning, Remote Consultation and Diagnosis (RCD), as well as on-Line Vaccination Services are addressed. Finally, the integrated HEIP and HIS architectures based on the middleware technologies are proposed along with the feasible approaches. The preliminary performance of multi-media, time-based data exchanges over the wireless HEIP side is collected to evaluate the efficiency of the architecture.

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Year:  2006        PMID: 17946647     DOI: 10.1109/IEMBS.2006.260715

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Newborn screening healthcare information system based on service-oriented architecture.

Authors:  Sung-Huai Hsieh; Sheau-Ling Hsieh; Yin-Hsiu Chien; Yung-Ching Weng; Kai-Ping Hsu; Chi-Huang Chen; Chien-Ming Tu; Zhenyu Wang; Feipei Lai
Journal:  J Med Syst       Date:  2009-03-24       Impact factor: 4.460

2.  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
Journal:  J Med Syst       Date:  2011-05-17       Impact factor: 4.460

3.  Web-based newborn screening system for metabolic diseases: machine learning versus clinicians.

Authors:  Wei-Hsin Chen; Sheau-Ling Hsieh; Kai-Ping Hsu; Han-Ping Chen; Xing-Yu Su; Yi-Ju Tseng; Yin-Hsiu Chien; Wuh-Liang Hwu; Feipei Lai
Journal:  J Med Internet Res       Date:  2013-05-23       Impact factor: 5.428

  3 in total

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