Position Paper: Researching and Developing Open Architectures for National Health Information Systems in Developing African Countries

  • Deshendran Moodley
  • Anban W. Pillay
  • Christopher J. Seebregts
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7151)

Abstract

Most African countries have limited health information systems infrastructure. Some health information system components are implemented but often on an adhoc, piecemeal basis, by foreign software developers and designed to solve specific problems. Little attention is usually paid to how these components can fit into an integrated national health information system and interoperate with other components. The Health Enterprise Architecture Laboratory was recently established in the School of Computer Science at the University of KwaZulu-Natal in South Africa to undertake research and build capacity in open health architectures for developing African countries. Based on field experiences and requirements in South Africa, Mozambique and Rwanda, the laboratory is evolving a generic Health Enterprise Architecture Framework and Repository of Tools specifically for low resource settings. In this paper we describe these three initiatives and the expected impact on implementing health information systems in developing African countries.

Keywords

health enterprise architectures ICT for developing countries interoperability ontologies postgraduate training open architectures 

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References

  1. 1.
    AbouZahr, C., Boerma, T.: Health information systems: the foundations of public health. Bulletin of the World Health Organization 83(8), 578–583 (2005)Google Scholar
  2. 2.
    Bagayoko, C.O., Dufour, J.C.D., Chaacho, S., Bouhaddou, O., Fieschi, M.: Open source challenges for hospital information system (HIS) in developing countries: a pilot project in Mali. BMC Med. Inform. Decis. Mak. 10(22) (2010)Google Scholar
  3. 3.
    Blobel, B.: Architectural Approach to eHealth for Enabling Paradigm Changes in Health. Methods Inf. Med. 49(2), 123–134 (2010)CrossRefGoogle Scholar
  4. 4.
    Blobel, B.: Analysis, design and implementation of secure and interoperable distributed health information systems. IOS Press (2002)Google Scholar
  5. 5.
    Blobel, B., Kalra, D., Koehn, M., Lunn, K., Pharow, P., Rhotsalainen, P., Schulz, S., Smith, B.: The Role of Ontologies for Sustainable, Semantically Interoperable and Trustworthy EHR Solutions, pp. 953–957. IOS Press (2009)Google Scholar
  6. 6.
    Blobel, B., Oemig, F.: Ontology-Driven Health Information Systems Architectures. IOS Press (2009)Google Scholar
  7. 7.
    Braa, J., Hanseth, O., Heywood, A., Mohammed, W., Shaw, V.: Developing health information systems in developing countries: the flexible standards strategy. Management Information Systems Quarterly (2007)Google Scholar
  8. 8.
    Braa, J., Hedberg, C.: Developing District-based Health Care Information Systems: The South African Experience. In: Svensson, L., Snis, U., Srensen, C., Fgerlind, H., Lindroth, T., Magnusson, M., Stlund, C. (eds.) Proceedings of IRIS 23, Laboratorium for Interaction Technology, University of Trollhättan/Uddevalla (2000)Google Scholar
  9. 9.
    Braa, J., Hedberg, C.: The Struggle for District-Based Health Information Systems in South Africa. The Information Society 18(2), 113–127 (2002)CrossRefGoogle Scholar
  10. 10.
    Braa, J., Monteiro, E., Sahay, S.: Networks of Action: Sustainable Health Information Systems across Developing Countries. MIS Quarterly 28(3) (2004)Google Scholar
  11. 11.
    Chan, M., Kazatchkine, M., Lob-Levyt, J., Obaid, T., Schweizer, J., Sidibe, M., Veneman, A., Yamada, T.: Meeting the Demand for Results and Accountability: A Call for Action on Health Data from Eight Global Health Agencies. PLoS Med. 7(1), e1000223+ (2010)CrossRefGoogle Scholar
  12. 12.
    Vital Wave Consulting: Health Information Systems in Developing Countries. Tech. rep. (May 2009)Google Scholar
  13. 13.
    CIO Council: A Practical Guide to Federal Enterprise Architecture. Tech. rep. (February 2001)Google Scholar
  14. 14.
    Goossen, W., Goossen-Baremans, A., van der Zel, M.: Detailed Clinical Models: A Review. Healthc Inform. Res. 16(4), 201–214 (2010)CrossRefGoogle Scholar
  15. 15.
    The Open Group: TOGAF Version 9. The Open Group Architecture Framework (2009), http://www.opengroup.org/architecture/togaf9/downloads.htm
  16. 16.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Journal of Human-Computer Studies 43, 907–928 (1995)CrossRefGoogle Scholar
  17. 17.
    Guarino, N.: Formal Ontology and Information Systems. In: Proceedings of the 1st International Conference on Formal Ontology in Information Systems, 1st edn., Trento, Italy, June 6-8. IOS Press, Amsterdam (1998)Google Scholar
  18. 18.
    Heeks, R.: Information Systems and Developing Countries: Failure, Success, and Local Improvisations. The Information Society 18(2), 101–112 (2002)CrossRefGoogle Scholar
  19. 19.
  20. 20.
    Lankhorst, M.: Enterprise Architecture at Work: Modelling, Communication and Analysis, 2nd edn. The Enterprise Engineering Series. Springer (September 2009)Google Scholar
  21. 21.
    Lopez, D., Blobel, B.: A development framework for semantically interoperable health information systems. International Journal of Medical Informatics 78(2), 83–103 (2009)CrossRefGoogle Scholar
  22. 22.
    Moodley, D., Tapamo, J.: A semantic infrastructure for a Knowledge Driven Sensor Web. In: Proceedings of the 4th International Workshop on Semantic Sensor Networks (SSN 2011), Bonn, Germany, October 23 (2011); A Workshop of the 10th International Semantic Web Conference (ISWC 2011)Google Scholar
  23. 23.
    Moodley, D.: Ontology Driven Multi-Agent Systems: An Architecture for Sensor Web Applications. Ph.D. thesis, School of Computer Science, University of KwaZulu-Natal (2009)Google Scholar
  24. 24.
    Mwanyika, H., Lubinski, D., Anderson, R., Chester, K., Makame, M., Steele, M., et al.: Rational Systems Design for Health Information Systems in Low-Income Countries: An Enterprise Architecture Approach. Journal of Enterprise Architecture 7(4) (2011)Google Scholar
  25. 25.
    Omary, Z., Lupiana, D., Mtenzi, F., Wu, B.: Analysis of the Challenges Affecting E-healthcare Adoption in Developing Countries: A Case of Tanzania. International Journal of Information Studies 2(1) (2010)Google Scholar
  26. 26.
    Stansfield, S., Orobaton, N., Lubinski, D., Uggowitzer, S., Mwanyika, H.: The Case for a National Health Information System Architecture; a Missing Link to Guiding National Development and Implementation (2008)Google Scholar
  27. 27.
    WHO: Everybody’s Business: Strengthening Health Systems to Improve Health Outcomes: WHO’s Framework for Action (2007), http://www.who.int/healthsystems/strategy/en/
  28. 28.
    Zachman, J.A.: A framework for information systems architecture. IBM Systems Journal 26(3), 276–292 (1987)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Deshendran Moodley
    • 1
    • 2
    • 4
  • Anban W. Pillay
    • 1
    • 4
  • Christopher J. Seebregts
    • 1
    • 2
    • 3
    • 4
  1. 1.School of Computer ScienceUniversity of KwaZulu-NatalDurbanSouth Africa
  2. 2.Jembi Health SystemsCape Town and DurbanSouth Africa
  3. 3.Medical Research CouncilCape TownSouth Africa
  4. 4.UKZN/CSIR Meraka Centre for Artificial Intelligence ResearchSouth Africa

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