Abstract
A prototype of a knowledge-based system in laboratory medicine that produces report proposals for haematology is presented. The medical problem-solving process in laboratory medicine can be modelled with the ST-model (select and test). This decreases the complexity of the inference mechanisms and allows the construction of knowledge-acquisition tools that are easy to use for laboratory physicians. The possibility of how to connect the knowledge-based system with a LIS (laboratory information system) is described.
This research applies results of the project GAMES-II, which was partially funded by the AIM Programme of the Commission of the European Union. The partners of this project have been SAGO (Florence, Italy), Foundation of Research and Technology (Heraklion, Greece), Geneva University Hospital (Switzerland), University of Amsterdam (The Netherlands), University College of London (UK), the University of Pavia (Italy), and the University of Ulm (Germany).
Many of the designations used by manufacturers and vendors to distinguish their products are claimed as trademarks. Where those designations appear in this publication, and the authors were aware of a trademark claim, the designations have hereinafter been printed in initial caps or all caps. In cases the authors were not aware of any such claims which were not mentioned therefore, this does not imply that they do not exist.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Literature
Barosi G., Magnani L., Stefanelli M.: “Medical diagnostic reasoning: epistemological modeling as a strategy for design of computer-based consultation programs”, Theoretical Medicine 14, 1993,43–55
Causer M. B., Findlay G. A., Hawes C. R., Boswell D. R.: “Assessment of a computerized system for the diagnosis of iron deficiency”, Pathology 26, 1994, 37–39
Eckert M., Bepperling C., Pohl B. Trendelenburg C: “Thyrolab — Technische Anforderungen an ein wissensbasiertes Befundungssystem für den Routineeinsatz”, Laboratoriumsmedizin 18, 1994, 572–576
Edwards G., Compton P., Malor R., Srinivasan A., Lazarus L.: “PEIRS: a pathologist-maintained expert system for the interpretation of chemical pathology reports”, Pathology 25, 1993, 27–34
Grimson J. B.: “Integrating knowledge-based systems and databases”, Clinica Chimica Acta 222, 1993, 101–115
Kindler H., Densow D., Fliedner T. M.: “A knowledge-based advisor supporting to deal with rare diseases”, in: Andreassen S., Engelbrecht R., Wyatt J.: “Artificial Intelligence in Medicine”, IOS Press, 1993, Amsterdam, 129–133
Hayes-Roth B.: “A blackboard architecture for control”, Artificial Intelligence 26, 1985, 251–321
Lanzola G., Stefanelli M.,: “Inferential knowledge acquisition”, Artificial Intelligence in Medicine 5, 1993, 253–268
Lanzola G., Stefanelli M.: “A specialized framework for medical diagnostic knowledge-based systems”, Computers in Biomedical Research 25, 1992, 351–365
Leaning M. S., Samuel P., Austin T., Hassan T., Modell M., Patterson D., Rubens R.: “Clinical application of a general methodology for decision-support systems”, in: Andreassen S., Engelbrecht R., Wyatt J.: “Artificial Intelligence in Medicine”, IOS Press, 1993, Amsterdam, 146–152
Pohl B., Trendelenburg C: Pro. M. D. — a diagnostic expert system shell for clinical chemistry test result interpretation, Methods of Information in Medicine 27, 1988
Ramoni M., Stefanelli M., Magnani L., Barosi G.: “An epistemological framework for medical knowledge-based systems”, IEEE Transactions on Systems, Man, and Cybernetics 22, 1992, 1–14
Safran E., Borst F., Thurler G., Pittet D., Lovis Ch., Rohner P., Auckenthaler R., Scherrer J.: “An evolutive alert system for diagnosis of nosocomial infections based on archiving databases”, in: Andreassen S., Engelbrecht R., Wyatt J.: “Artificial Intelligence in Medicine”, IOS Press, 1993, Amsterdam, 180–184
Schreiber A. T., van Heijst G., Lanzola G., Stefanelli M.: “Knowledge Organisation in medical KBS construction”, in: Andreassen S., Engelbrecht R., Wyatt J.: “Artificial Intelligence in Medicine”, IOS Press, 1993, Amsterdam, 394–405
Wells I. G., Cartwright R. Y., Farnan L. P.: “Practical experience with graphical user interfaces and object-oriented design in the clinical laboratory”, Clinica Chimica Acta 222, 1993, 13–18
Wielinga B. J., Schreiber A. T., Breuker J. A.: “KADS: A modelling approach to knowledge engineering”, Knowledge Acquisition 4, 1992, 5–53
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kindler, H., Densow, D., Fischer, B., Fliedner, T.M. (1995). Mapping laboratory medicine onto the select and test model to facilitate knowledge-based report generation in laboratory medicine. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_143
Download citation
DOI: https://doi.org/10.1007/3-540-60025-6_143
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60025-1
Online ISBN: 978-3-540-49407-2
eBook Packages: Springer Book Archive