Advertisement

Synchronization Technique via Raspbery Pi as Middleware for Hospital Information System

  • Mohd Hariz NaimEmail author
  • Mohd Khanapi Abd GhaniEmail author
  • Abd Samad Hasan BasariEmail author
  • Burhanuddin Mohd AboobaiderEmail author
  • Lizawati SalahuddinEmail author
  • Wan Norhisyam Abd RashidEmail author
  • Gan Jun KaiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 734)

Abstract

Integration of information system regarding health records is crucial especially when the data are sourced and distributed across several locations of hospitals. Having a centralized data repository to store the health records is one of the suitable ways for integrating the information where stable network connectivity is required so that the information is always available across multiple locations. However, network intermittent occasionally occurs, causing the health information records would not be available to be accessed. Thus in this paper, a new synchronization technique is proposed by deploying Raspberry Pi as secondary server or middleware to ensure that the health records are always available and accessible anytime.

Keywords

Information synchronization technique Centralized data Hospital information system 

Notes

Acknowledgement

This research has been supported and fund by UTeM through short term grant with references PJP/2015/FTMK(7B)/S01448 and fully technical support by Biomedical Computing and Engineering Technologies (BIOCORE) Applied Research Group, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia.

References

  1. 1.
    Ghani, M.K.A., Jaber, M.M., Suryana, N.: Barriers faces telemedicine implementation in the developing countries: toward building Iraqi telemedicine framework. ARPN J. Eng. Appl. Sci. 10(4), 1562–1567 (2015)Google Scholar
  2. 2.
    Ghani, M.K.A., Jaber, M.M., Suryana, N.: Telemedicine supported by data warehouse architecture. ARPN J. Eng. Appl. Sci. 10(2), 415–417 (2015)Google Scholar
  3. 3.
    Kaihara, S.: Realization of the computerized patient record; relevance and unsolved problems. Int. J. Med. Inform. 49, 1–8 (1998)CrossRefGoogle Scholar
  4. 4.
    Chao, H.M., Hsu, C.M., Miaou, S.G.: A data-hiding technique with authentication, integration, and confidentiality for electronic patient records. IEEE Trans. Inf. Technol. Biomed. 6(1), 46–53 (2002)CrossRefGoogle Scholar
  5. 5.
    Abas, Z.A., et al.: The implementation of personal monitoring system using Histogram of Gradient, Haar classifier and eigenfaces for human detection and recognition. ARPN J. Eng. Appl. Sci. 10(19), 8799–8806 (2015)Google Scholar
  6. 6.
    Set Up MySQL Master-Master Replication, 26 April 2013. https://www.digitalocean.com/community/tutorials/how-to-set-up-mysql-master-master-replication. Accessed 01 Jan 2017
  7. 7.
    Gheorghe, M., Petre, R.: Integrating data mining techniques into telemedicine systems. Inform. Econ. 18(1), 120–130 (2014)Google Scholar
  8. 8.
    MySQL Replication Monitoring, 2011. http://www.digialliance.com/index.php?ch=mda&pg=feature&ac=198. Accessed 01 Jan 2017

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Biomedical Computing and Engineering Technologies (BIOCORE) Applied Research Group, Faculty of Information and Communication TechnologyUniversiti Teknikal Malaysia MelakaDurian TunggalMalaysia

Personalised recommendations