Challenges facing the distribution of an artificial-intelligence-based system for nursing

Abstract

The marketing and successful distribution of artificial-intelligence-based decision-support systems for nursing face special barriers and challenges. Issues that must be confronted arise particularly from the present culture of the nursing profession as well as the typical organizational structures in which nurses predominantly work. Generalizations in the literature based on the limited experience of physician-oriented artificial intelligence applications (predominantly in diagnosis and pharmacologic treatment) must be modified for applicability to other health professions.

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References

  1. 1.

    Evans, S., The structure of instructional knowledge: An operational model.Instruct. Sci. 2:421–50, 1974.

    Google Scholar 

  2. 2.

    Evans, S., Automated curriculum construction: Toward computer constructed education.Simulation and Games, December 1976.

  3. 3.

    Evans, S., A multi-functional health sciences consultant system.Proceedings of the Fourteenth International Conference on Systems Science, Hawaii, January 1981.

  4. 4.

    Evans, S., Nursing applications of an expert system.Proceedings of the Fourth World Congress of Medical Informatics, Amsterdam, August 1983.

  5. 5.

    Evans, S., A computer-based nursing practice protocol writer.Proceedings of the Seventeenth Hawaii International Conference on Systems Science, Hawaii, January 1984.

  6. 6.

    Evans, S., Implementation of a computer-based testwriting consultant.Proceedings of the Eighth Annual Symposium on Computer Applications in Medical Care, Washington, D.C., 1984.

  7. 7.

    Pople, H. E., The foundation of composite hypotheses in diagnostic problem solving: An exercise in synthetic reasoning.Proceedings of the Fifth International Joint Conference on Artificial Intelligence, 1977.

  8. 8.

    Halloran, E., RN staffing: More care—Less Cost.Nursing Management, September 1983.

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This paper was supported in part by a grant from the W.K. Kellogg Foundation of Battle Creek, Michigan.

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Evans, S. Challenges facing the distribution of an artificial-intelligence-based system for nursing. J Med Syst 9, 79–89 (1985). https://doi.org/10.1007/BF00992524

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Keywords

  • Marketing
  • Artificial Intelligence
  • Health Profession
  • Pharmacologic Treatment
  • Organizational Structure