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Design and Development of a Tele-Healthcare Information System Based on Web Services and HL7 Standards

  • Ean-Wen Huang
  • Rui-Suan Hung
  • Shwu-Fen Chiou
  • Fei-Ying Liu
  • Der-Ming Liou
Chapter
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 696)

Abstract

Information and communication technologies progress rapidly and many novel applications have been developed in many domains of human life. In recent years, the demand for healthcare services has been growing because of the increase in the elderly population. Consequently, a number of healthcare institutions have focused on creating technologies to reduce extraneous work and improve the quality of service. In this study, an information platform for tele- healthcare services was implemented. The architecture of the platform included a web-based application server and client system. The client system was able to retrieve the blood pressure and glucose levels of a patient stored in measurement instruments through Bluetooth wireless transmission. The web application server assisted the staffs and clients in analyzing the health conditions of patients. In addition, the server provided face-to-face communications and instructions through remote video devices. The platform deployed a service-oriented architecture, which consisted of HL7 standard messages and web service components. The platform could transfer health records into HL7 standard clinical document architecture for data exchange with other organizations. The prototyping system was pretested and evaluated in a homecare department of hospital and a community management center for chronic disease monitoring. Based on the results of this study, this system is expected to improve the quality of healthcare services.

Keywords

Unify Modeling Language Remote Server Health Information Exchange Simple Object Access Protocol Clinical Document Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported in part by the National Science Council of Taiwan, R.O.C. under Grant NSC97-2221-E-227-001-MY3.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Ean-Wen Huang
    • 1
  • Rui-Suan Hung
  • Shwu-Fen Chiou
  • Fei-Ying Liu
  • Der-Ming Liou
  1. 1.Department of Information ManagementNational Taipei University of Nursing and Health SciencesTaipeiTaiwan, R.O.C.

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