Abstract
About thirty years of research in Artificial Intelligence in Medicine (AIM), together with a partial failure to disseminate AIM systems despite the significant progress in developing the underlying methodologies, has taught that AIM is not a field that can be separated from the rest of medical informatics and health economics. Since medicine is inherently an information-management task, effective decision-support systems are dependent on the development of integrated environments for communication and computing that allow merging of those systems with other patient data and resource management applications. The explosion of communication networks raised more recently another goal for AIM researchers: the full exploitation of those facilities require to model the organization where health care providers and managers work. This means that the AIM community has to acquire knowledge from other fundamental disciplines, as organization theory, sociology, ethnography, in order to exploit its modeling methodologies to represent behavior within an organization. It will allow the development of systems able to support collaborative work among everybody involved in patient care and organization management. A most promising approach is the exploitation of workflow management systems. They support the modeling and execution of workflows, which focus on the behavioral aspects of personnel involved in clinical processes. Workflow management systems provide tools for the design and implementation of innovative workflow-based Hospital Information Systems. This represents a great challenge for AIM researchers to prove that their theoretical background is essential to build those innovative systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aarts, J., Peel, V., Wright, G.: Organizational Issues in Health Informatics: a Model Approach. International Journal of Medical Informatics 52 (1998) 235–242.
Argyris, C., Shon, D.: Organizational Learning II. Addison Wesley, Reading, MA (1996).
Berg M.: Rationalizing Medical Work-decision Support Techniques and Medical Practices. Cambridge. MIT Press, Cambridge, MA (1997).
Berg, M., Langerberg, C., Berg, I.V.D., Kwakkernaat, J.: Considerations for Sociotechnical Design: Experiences with an Electronic Patient Record in a Clinical Context. International Journal of Medical Informatics 52 (1998) 243–251.
Boland, R., Tenkasi, R.: Perspective Making and Perspective Taking in Communities of Knowing. Organization Science 6 (1995) 350–372.
Brooking, A.: Intellectual Capital. International Thomson Business Press, London (1996).
Ellrodt A.G., Conner, L., Ridinger, M., Weingarten, S.: Measuring and Improving Physician Compliance with Clinical Practice Guidelines: a Controlled Interventional Trial. Annals of Internal Medicine 122 (1995) 277–282.
Falasconi S., Dazzi, L., Lanzola, G., Quaglini, S., Saracco, R, Stefanelli, M.: Towards Cooperative Patient Management through Organizational and Medical Ontologies. Methods of Information in Medicine 37 (1998) 564–575.
Field, M.J, Lohr, K.N. (eds.): Clinical Practice Guidelines: Directions for a New Program. IOM Report. National Academy Press, Washington D.C. (1990).
Fox, M.S., Gruninger, M.: Enterprise Modeling. AI Magazine, Fall (1998) 109–121.
Fridsma, D.B.: Representing the Work of Medical Protocols for Organization Simulation. In: Chute, C.G. (ed.): Proceedings of the Annual Fall Symposium of the American Medical Informatics Association (AMIA). Hanley and Belfus, Philadelphia, PE. (1998).
Fridsma, D.B., Gennari J., Musen, M.: Making Protocols Site-specific. In: Cimino, J. (ed.): AMIA Fall Symposium. Hanley and Belfus, Philadelphia, PE. (1996).
Fridsma, D.B., Thomsen, J.: Representing Medical Protocols for Organization Simulation: an information processing approach. Computational and Mathematical Organization Theory (1999) (to appear).
Gordon, C.: Practice Guideline and Health Care Telematics: Towards an Alliance. In: C. Gordon, C., Christensen, J.P. (eds.): Health Telematics for Clinical Guidelines and Protocols. IOS Press, Washington, D.C. (1995).
Graeber, S.: The Impact of Workflow Management Systems on the Design of Hospital Information Systems. In: D.R. Masys, D.R. (ed.): Proceedings of the Annual Fall Symposium of the American Medical Informatics Association (AMIA). Hanley&Belfus, Philadelphia, PE. (1997).
Greco P.J., Eisenberg, J.M: Changing Physicians' Practices, New England Journal of Medicine 321 (1993) 1306–1311.
Grenees, R.A., Shortliffe, E.H.: Medical Informatics: an Emerging Academic Discipline and Institutional Priority. JAMA, 263, (1990) 1114–1120.
Jensen, K., Rozenberg, G. (eds.). High-level Petri Nets: Theory and Applications. Springer-Verlag, New York, N.Y. (1992).
Krishnakumar N. and A. Sheth, A.: Managing Heterogeneous Multi-system Tasks to Support Enterprise-wide Operations. Distributed and Parallel Databases 3 (1995) 155–186.
Leavitt, H.: Applied Organizational Change in Industry: Structural, Technological and Humanistic Approaches. In: March, J. (ed.): Handbook of Organizations, Rand McNally, Chicago, MI (1995).
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company. University Press, Oxford, U.K. (1995).
Pfeffer J.: Understanding Organizations: Concepts and Controversies. Research Paper No. 1378. Stanford Graduate School of Business (1996).
Polanyi, M.: The Tacit Dimension. Routledge & Kegan Paul, London (1996).
Roboam, M., Fox, M.S.: Enterprise Management Network Architecture, a Tool for Manufactoring Enterprise Integration. Artificial Intelligence Applications in Manufactoring, AAAI Press/MIT Press, Cambridge, MA (1992).
Scott, W. R.: Organizations: Rational, Natural and Open Systems. Prentice-Hall, Englewood Cliffs, N.J. (1992).
Schreiber A. Th., Akkermans, J.M., Anjerwierden, A.A., de Hoog, R., Shadbolt, N.R., Van de Velde, W., Wielinga, B.J.: Engineering and Managing Knowledge, the CommonKADS Methodology (1999) (to appear).
Szolovits, P. (ed.): Artificial Intelligence in Medicine. AAAS Selected Symposia Series. Westview Press, Boulder, CO (1992).
Workflow Management Coalition. Interface 1: Process Definition Language (TC-1016). WfMC: Brussels (1996).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stefanelli, M. (1999). Artificial Intelligence for Building Learning Health Care Organizations. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_2
Download citation
DOI: https://doi.org/10.1007/3-540-48720-4_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66162-7
Online ISBN: 978-3-540-48720-3
eBook Packages: Springer Book Archive