Search
1990 Volume 5
Article Contents
RESEARCH ARTICLE   Open Access    

Medical AI systems as appropriate technology for developing countries

More Information
  • Abstract: Expert systems technology has been around for a long time, becoming increasingly easy to use, inexpensive and reliable in recent years. It would seem to provide an ideal vehicle for the dissemination of expertise in developing countries, particularly in the field of medicine, which was the focus of much early work in diagnostic systems. Despite the apparent match of a real problem and a credible solution, however, remarkably few AI systems for medicine in developing countries have been researched, designed and implemented. This paper addresses why this might be the case, reviews some of the extant systems and explores some of the design issues. Particular emphasis is placed on the question of “Appropriate Technology”. Various criteria for Appropriate Technology are explored, and an optimal set used to guide principles of design. It is argued that medical AI systems can satisfy these criteria, provided that sufficient care is taken in their design for the country of application.
  • 加载中
  • Aegerter P, Auvert B, Gilbos V, Desve G, Benillouche E, Landre MF and Bos D, 1987. “A computer-assisted instruction system designed for rural health workers in developing countries”. In: Proceedings of Conference on Medical Informatics in Europe 1987.Rome.

    Google Scholar

    Auvert B, Aegerter P, Gilbos V, Benillouche E, Boutin P, Desve G, Landre MF and Bos D, 1986. “TROPICAID: a portable expert system for medical decision-aid in developing countries”. In: MEDINFO86. Amsterdam: Elsevier Science Publishers.

    Google Scholar

    Auvert B, Aegerter P, van Look F, Huong-Du LT, Boutin P, Monier JL, Emmanuelli X, Gilbos V and Benillouche E, 1986. “A hand-held decision aid system designed for rural health workers. Computers and Biomedical Research19.

    Google Scholar

    Briggs BR, Lavett SL, Pistorius JG, van den Berg ADP, Prax M and de Klerk JN. “SASEP a computerised diagnostic program”. Unpublished paper.

    Google Scholar

    British Medical Association, 1985. Appropriate Technology: Articles from the British Medical Journal. London: British Medical Association.

    Google Scholar

    Clancey WJ and Shortliffe EH, 1984. Readings in Medical Artificial Intelligence: The First Decade. Addison Wesley.

    Google Scholar

    Eamsiri J, Malasit P, Songsivilia S and Chongstitvatana P, 1987. “Intelligent tutor for medical teaching”. In: Proceedings of the Regional Symposium on Computer Science and its Applications. Bangkok.

    Google Scholar

    Eckhaus RS, 1977. Applied Technology for Developing Countries. Washington DC: National Academy of Sciences. Prepared for the panel on Appropriate Technologies for Developing Countries.

    Google Scholar

    Essex BJ, 1980. Diagnostic Pathways in Clinical Medicine. Edinburgh: Churchill Livingstone.

    Google Scholar

    Jequier N and Blanc G, 1979. Appropriate Technology Directory. Paris: OECD.

    Google Scholar

    Kastner JK, Dawson CR, Weiss SM, Kern KB and Kulikowski CA, 1984. “An expert consultation system for frontline health workers in primary eye care”. Journal of Medical Systems8(5) 389–397.

    Google Scholar

    Machanik P, 1988. “Design of medical education software as appropriate technology using artificial intelligence and software engineering”. Technical Report 88–01. Johannesburg: University of the Witwatersrand.

    Google Scholar

    Miller RA, Pople HE and Myers JD, 1982. “INTERNIST-I: an experimental computer-based diagnostic consultant for general internal medicine”. New England Journal of Medicine307(8).

    Google Scholar

    Ostroff JH, Dawson CR, Kastner JK, Weiss SM, Kulikowski CA and Kern KB, 1986. “Preliminary results from field testing of an expert advisory system for primary eye care in developing countries”. In: AI and Advanced Computer Technology, Proceedings of the 2nd Conference.Illinois:Wheaton.

    Google Scholar

    Pankhurst RJ, 1980. “Medical diagnosis in developing countries”. Computers in Biology and Medicine10(69) 82.

    Google Scholar

    Perenta G, Pfahringer P, Hoberstorfer M and Trappl R, 1988. “A decision support system for village health workers in developing countries”. Applied Artificial Intelligence2.

    Google Scholar

    Quinlan R, 1979. “Discovering rules from large sets of examples: a case study”. In: Michie D (ed.), Expert Systems in the Microelectronic Age. Edinburgh: Elsevier Science Publishers.

    Google Scholar

    Trappl R and Horn W, 1983. “Making interaction with a medical expert system easier”. In: MEDINFO83. Amsterdam: Elsevier Science Publishers.

    Google Scholar

    Uplekar MW, Antia NH and Dhumale PS, 1988. “Sympmedl: computer program for primary health care”. British Medical Journal297.

    Google Scholar

    WHO, 1978. “Primary health care: report on the international conference on primary health care”. Alma Ata USSR 1978. Health for All Series 1.

    Google Scholar

    WHO Expert Committee, 1988. “Appropriate technology in the management of cardiovascular diseases”. Technical Report 772. Geneva: World Health Organisation.

    Google Scholar

  • Cite this article

    Kathleen King, Howard Beck. 1990. Medical AI systems as appropriate technology for developing countries. The Knowledge Engineering Review. 5:5488 doi: 10.1017/S0269888900005488
    Kathleen King, Howard Beck. 1990. Medical AI systems as appropriate technology for developing countries. The Knowledge Engineering Review. 5:5488 doi: 10.1017/S0269888900005488

Article Metrics

Article views(20) PDF downloads(147)

Other Articles By Authors

RESEARCH ARTICLE   Open Access    

Medical AI systems as appropriate technology for developing countries

The Knowledge Engineering Review  5 Article number: 10.1017/S0269888900005488  (1990)  |  Cite this article

Abstract: Abstract: Expert systems technology has been around for a long time, becoming increasingly easy to use, inexpensive and reliable in recent years. It would seem to provide an ideal vehicle for the dissemination of expertise in developing countries, particularly in the field of medicine, which was the focus of much early work in diagnostic systems. Despite the apparent match of a real problem and a credible solution, however, remarkably few AI systems for medicine in developing countries have been researched, designed and implemented. This paper addresses why this might be the case, reviews some of the extant systems and explores some of the design issues. Particular emphasis is placed on the question of “Appropriate Technology”. Various criteria for Appropriate Technology are explored, and an optimal set used to guide principles of design. It is argued that medical AI systems can satisfy these criteria, provided that sufficient care is taken in their design for the country of application.

    • Copyright © Cambridge University Press 19901990Cambridge University Press
References (21)
  • About this article
    Cite this article
    Kathleen King, Howard Beck. 1990. Medical AI systems as appropriate technology for developing countries. The Knowledge Engineering Review. 5:5488 doi: 10.1017/S0269888900005488
    Kathleen King, Howard Beck. 1990. Medical AI systems as appropriate technology for developing countries. The Knowledge Engineering Review. 5:5488 doi: 10.1017/S0269888900005488
  • Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return