Sustainable Patient Information Network (SPaIN) for Primary Care Health Center in Indonesia

I. T. Pambudi, T. Hayasaka, K. Tsubota, S. Wada, T. Yamaguchi

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Sustainable Patient Information Network for Primary Care Health Center is needed for Indonesia. There are many of remote, isolated or urban area, which causes transportation problems and telecommunication problems, for example: necessity of wireless infrastructure. The Internet and its free software is the main agent for this system combining with Information and Communication Technology. We develop low speed communication system to access the Internet using Internet radio packet and used PostgreSQL data base server on Linux machines. Our development is based on a data base managing system called Automatic Distributed Synchronizing Data Base System. This system connects every health center to each other and avoid central data storage which common use in this day. It is a good opportunity for developing country such as Indonesia to use open free software. And radio packet communication uses radio media is no connection charge like telephone line for data communication. A general practitioner in remote and isolated area can get assistance from a specialist in one urban area using email. The study opens perspective for a further data storage, distribution, synchronizing, maintenance and security.

Original languageEnglish
Pages (from-to)1421-1424
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
Publication statusPublished - 2003 Dec 1
EventA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: 2003 Sep 172003 Sep 21

Keywords

  • Automatic distributed synchronizing data base system
  • Information and communication technology
  • Open free software
  • Primary care health center
  • Sustainable patient information network

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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