Abstract
Selecting experts is much like selecting a “significant other”—an extremely subtle and idiosyncratic process. Which individuals will prove to be useful contributors is hard to predict simply by their clinical credentials and performance alone. The personality of the experts becomes a significant factor. It is important that they be willing to follow the established rules by which information is collected. The taxonomy for all specific entries that must be honored has been discussed. There are, in addition, individual aspects of each taxonomic entry that require information from the expert, as well as careful review of what the expert has actually provided.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abraham, I.L., & Fitzpatrick, J.J. (1987) Knowing for nursing practice: Patterns of knowing and their emulation in expert systems. In Proceedings of the Eleventh Symposium on Computer Applications in Medical Care, W.W. Stead, Ed. IEEE Computer Society Press.
Benner, P. (1983) Uncovering the knowledge embedded in clinical practice. Image: The Journal of Nursing Scholarship, SV(2):36–41.
Benner, P. (1984) From Novice to Expert: Power and Excellence in Nursing Practice. Palo Alto, CA: Addison-Wesley.
Benner, P., & Tanner, C. (1987) How expert nurses use intuition. American Journal of Nursing, 87(1):23–31.
Brennan, P.F., & McHugh, M. (1988) Clinical decision-making and computer support. Applied Nursing Research, 1(2):89–93.
Carper, B.A. (1978) Fundamental patterns of knowing in nursing. Advances in Nursing Science, 1(1):13–23.
Evans, S. (1985) Marketing an artificial-intelligence-based system for nursing: Issues, barriers, and challenges. In Proceedings of the Eighteeth Hawaii International Conference on System Sciences.
Giuse, D.A., Giuse, N.B., & Miller, R.A. (1990) Towards computer-assisted maintenance of medical knowledge bases. Artificial Intelligence in Medicine, 2:21–33.
Giuse, D.A., Giuse, N.B., & Miller, R.A. (1993) Consistency enforcement in medi- cal knowledge base construction. Artificial Intelligence in Medicine,5:245–252.
Giuse, N.B., Bankowitz, R.A., Giuse, D.A., Parker, R.C., & Miller, R.A. (1989) Medical knowledge base acquisition: The role of the expert review process in disease profile construction. In Proceedings of the Thirteenth Symposium on Computer Applications in Medical Care, L.C. Kingsland III, Ed. Los Alamitos, CA: IEEE Computer Society Press, pp. 105–109.
Giuse, N.B., Giuse, D.A., Miller, R.A., Bankowitz, R.A., et al. (1993) Evaluating consensus among physicians in medical knowledge base construction. Methods of Information in Medicine, 32:137–145.
Giuse, N.B., Giuse, D.A., & Miller, R.A. (1988) Computer assisted multi-center creation of medical knowledge bases. In Proceedings of the Twelfth Symposium on Computer Applications in Medical Care, Robert Greenes, Ed. Los Alamitos, CA: IEEE Computer Society Press, pp. 583–590.
Lassez, C., McAloon, K., & Port, G. (1989) Stratification and knowledge base management. Journal of Symbolic Computation,7(5):509–522.
Mars, N.J.I., & Miller, P.L. (1986) Tools for knowledge acquisition and verification in medicine. In Proceedings of the Tenth Symposium on Computer Applications in Medical Care, Helmut Orthner, Ed. Los Alamitos, CA: IEEE Computer Society Press, pp. 36–42.
Miller, P.L., Blumenfrucht, S.R., Rose, J.J., et al. (1986) Expert system knowledge acquisition for domains of medical work-up: An augmented transition network model. In Proceedings of the Tenth Symposium on Computer Applications in Medical Care, Los Alamitos, CA: IEEE Computer Society Press, pp. 30–35.
Musen, M.A. (1989) Automated Generation of Model-Based Knowledge-Acquisition Tools. London: Pitman.
Ozbolt, J.G. (1986) Developing decision support systems for nursing: Issues of knowledge representation. In MEDINFO 86, R. Salamon, B. Blum, & M. Jorgensen, Eds. Amsterdam: Elsevier Science, Publishers, pp. 186–189.
Politakis, P.G. (1982) Using Empirical Analysis to Refine Expert System Knowledge Bases. New Brunswick, NJ: Rutgers University, Laboratory for Computer Science Research.
Probst, C.L., & Rush, J.P. (1991) The Careplan expert system: Information presentation preferences of novice and expert nurses. In Proceedings of the Fourth International Conference on Nursing Use of Computers and Information Science, E.J.S. Hovenga, K.J. Hannah, K.A. McCormick, & J.S. Ronald, Eds. New York: Springer-Verlag, pp. 774–751.
Probst, C.L., & Rush, J.P. (1990) The Careplan knowledge base: A prototype expert system for post partum nursing care. Computers in Nursing, 8(5):206–213.
Suwa, M., Scott, A.C., & Shortliffe, E.H. (1982) An approach to verifying complete- ness and consistency in a rule-based expert system. AI Magazine, 3(4):16–21.
Widmer, G., Horn, W., & Nagele, B. (1993) Automatic knowledge base refinement: Learning from examples and deep knowledge in rheumatology. Artificial Intelligence in Medicine, 5(3):225–243.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media New York
About this chapter
Cite this chapter
Evans, S. (1997). Acquiring, Maintaining, and Managing a Knowledge Base. In: The PACE System. Computers and Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1900-2_4
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1900-2_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7331-8
Online ISBN: 978-1-4612-1900-2
eBook Packages: Springer Book Archive