Journal of Medical Systems

, Volume 9, Issue 1–2, pp 79–89 | Cite as

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

  • Steven Evans


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.


Marketing Artificial Intelligence Health Profession Pharmacologic Treatment Organizational Structure 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  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.Google Scholar
  3. 3.
    Evans, S., A multi-functional health sciences consultant system.Proceedings of the Fourteenth International Conference on Systems Science, Hawaii, January 1981.Google Scholar
  4. 4.
    Evans, S., Nursing applications of an expert system.Proceedings of the Fourth World Congress of Medical Informatics, Amsterdam, August 1983.Google Scholar
  5. 5.
    Evans, S., A computer-based nursing practice protocol writer.Proceedings of the Seventeenth Hawaii International Conference on Systems Science, Hawaii, January 1984.Google Scholar
  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.Google Scholar
  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.Google Scholar
  8. 8.
    Halloran, E., RN staffing: More care—Less Cost.Nursing Management, September 1983.Google Scholar

Copyright information

© Plenum Publishing Corporation 1985

Authors and Affiliations

  • Steven Evans
    • 1
  1. 1.From Instructional Science Research for the Health SciencesCreighton UniversityOmaha

Personalised recommendations