Research on Structure Design of Health Information Management System for Women and Children

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 144)

Abstract

Women and Children are the hope of human. On Millennium Development Goals [1], World Health Organization (WHO) was expressing the requirements to reduce child mortality and to improve maternal health. In this paper, the significance, objective and principle of building the Health Information Management System (HIMS) for Women and Children were established. The authors will introduce the system framework, architecture and technology, the design of database and system security also included. The paper innovated and built HIMS for Women and Children to provide an intellectual support.

Keywords

Personal Health Record Health Foundation Reduce Child Mortality Rule Engine Health Information Management System 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    World Health Organization, The WHO agenda, http://www.who.int/about/agenda/en/index.html (retrieved on May 2011)
  2. 2.
    World Health Organization, Strategy for Integrating Gender Analysis and actions into the work of WHO. Sixth World Health Assembly, A/MTSP/2008-2013/PB/2008-2009 and Corr.1, May 23 (2007)Google Scholar
  3. 3.
    World Health Organization, The Maternal and Children’s health, the newborn Partnership, http://www.who.int/pmnch/en/index.html (retrieved May 2011)
  4. 4.
    W3C Reference: XML 1.0 Origin and Goals, 5th edn., November 26 (2008) (retrieved on July 2011)Google Scholar
  5. 5.
    Wohed, P., van der Aalst, W.M.P., Dumas, M., ter Hofstede, A.H.M.: Analysis of Web Services Composition Languages: The Case of BPEL4WS. In: Song, I.-Y., Liddle, S.W., Ling, T.-W., Scheuermann, P. (eds.) ER 2003. LNCS, vol. 2813, pp. 200–215. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  6. 6.
    Seo, C., Han, Y., Lee, H., Jung, J.J., Lee, C.: Implementation of Cloud Computing Environment for Discrete Event System Simulation using Service Oriented Architecture. In: IEEE/IFIP International Conference on EMbeded and Ubiquitous Computing. IEEE Computer Society, HongKong (2010)Google Scholar
  7. 7.
    Terwilliger, J.F., Bernstein, P.A., Unnithan, A.: Worry-free database upgrades: automated model-driven evolution of schemas and complex mappings. In: SIGMOD 2010 International Conference on Management of data. ACM, NY (2010) ISBN: 978-1-4503-0032-2Google Scholar
  8. 8.
    Hersh, W.: The Health Information Technology Workforce. Applied Clinical Informatics 294, 203–204 (2010), doi:10.4338/ACI-2009-11-R-0011Google Scholar
  9. 9.
    World Health Organization Regional Office for the Western Pacific. A selection of important health indicators, Manila, Philippines. World Health Organization (2000)Google Scholar
  10. 10.
    Weitzman, E., Kaci, L., Mandi, D.: Sharing Medical Data for Health Research: The early Personal Health Record Experience. Journal of Medical Internet Research 12(2), e14 (2010)CrossRefGoogle Scholar
  11. 11.
    Baird, W., Jackson, R., Ford, H., Evangelou, N., Busby, M., Bull, P., Zajicek, J.: Holding personal information in a disease-specific register: the perspectives of people with multiple sclerosis and professionals on consent and access. J. Med. Ethics 35(2), 92–96 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.University of Arkansas for Medical ScienceLittle RockUSA
  2. 2.University of Arkansas at Little RockLittle RockUSA
  3. 3.Jiangsu Administration InstituteNanjingChina

Personalised recommendations