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A task-specific ontology for the application and critiquing of time-oriented clinical guidelines

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Artificial Intelligence in Medicine (AIME 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1211))

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Abstract

Clinical guidelines reuse existing clinical procedural knowledge while leaving room for flexibility by the care provider applying that knowledge. Guidelines can be viewed as generic skeletal-plan schemata that are instantiated and refined dynamically by the care provider over significant periods of time and in highly dynamic environments. In the Asgaard project, we are investigating a set of tasks that support the application of clinical guidelines by a care provider other than the guideline's designer. We are focusing on application of the guideline, recognition of care providers' intentions from their actions, and critique of care providers' actions given the guideline and the patient's medical record. We are developing methods that perform these tasks in multiple clinical domains, given an instance of a properly represented clinical guideline and an electronic medical patient record. In this paper, we point out the precise domain-specific knowledge required by each method, such as the explicit intentions of the guideline designer (represented as temporal patterns to be achieved or avoided). We present a machine-readable language, called Asbru, to represent and to annotate guidelines based on the taskspecific ontology. We also introduce an automated tool for acquisition of clinical guidelines based on the same ontology; the tool was developed using the PROTÉGÉ-II framework's suite of tools.

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References

  • Barnes, M. and Barnett, G. O. (1995). An Architecture for a Distributed Guideline Server. In Gardner, R. M. (Ed.) Proceedings of the Annual Symposium on Computer Applications in Medical Care (SCAMC-95), New Orleans, Louisiana, 233–237. Hanley & Belfus.

    Google Scholar 

  • Bratman, M.E. (1987). Intention, Plans and Practical Reason. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Dechter, R., Meiri, L., and Pearl, J. (1991). Temporal Constraint Networks. Artificial Intelligence, Special Volume on Knowledge Representation, 49(1–3):61–95

    Google Scholar 

  • Eriksson, H., Shahar, Y., Tu, S. W., Puerta, A. R., and Musen, M. A. (1995). Task Modeling with Reusable Problem-Solving Methods. Artificial Intelligence, 79(2):293–326.

    Google Scholar 

  • Friedland, P., and Iwasaki, Y. The Concept and Implementation of Skeletal Plans. Journal of Automated reasoning, 1(2):161–208.

    Google Scholar 

  • Grimshaw, J. M. and Russel, I. T. (1993). Effects of Clinical Guidelines an Medical Practice: A Systematic Review of Rigorous Evaluation. Lancet, 342:1317–1322.

    Google Scholar 

  • Herbert, S. I., Gordon, C. J., Jackson-Smale, A., and Renaud Salis, J-L. (1995). Protocols for Clinical Care. Computer Methods and Programs in Biomedicine, 48:21–26.

    Google Scholar 

  • Hripcsak, G., Ludemann, P., Pryor, T. A., Wigertz, O. B., and Clayton, P. D. (1994). Rationale for the Arden Syntax. Computers and Biomedical Research, 27:291–324.

    Google Scholar 

  • Miksch, S., Horn, W., Popow, C., and Paky, F. (in press). Utilizing Temporal Data Abstraction for Data Validation and Therapy Planning for Artificially Ventilated Newborn Infants. Artificial Intelligence in Medicine, forthcoming.

    Google Scholar 

  • Musen, M. A., Carlson, C. W., Fagan, L. M., Deresinski, S. C., and Shortliffe, E. H. (1992). T-HELPER: Automated Support for Community-Based Clinical Research. In Frisse, M. E. (Ed.) Proceedings of the Sixteenth Annual Symposium on Computer Applications in Medical Care (SCAMC-92), 719–723. McGraw Hill, New York, NY.

    Google Scholar 

  • Musen, M.A., Tu, S.W., Das, A.K., and Shahar, Y. (1996). EON: A Component-Based Approach to Automation of Protocol-Directed Therapy. Journal of the American Medical Information Association, 3(6):367–388.

    Google Scholar 

  • Pollack, M. (1992). The Use of Plans. Artificial Intelligence, 57(1):43–68.

    Google Scholar 

  • Rit, J.-F. (1986). Propagating Temporal Constraints for Scheduling. Proceedings of the Fifth National Conference on Artificial Intelligence (AAAI-86), 383–388. Morgan Kaufmann, Los Altos, CA.

    Google Scholar 

  • Shahar, Y. and Musen, M. A. (1995). Plan Recognition and Revision in Support of Guideline-Based Care. Notes of the AAAI Spring Symposium on Representation Mental States and Mechanisms, Stanford, CA, 118–126.

    Google Scholar 

  • Shahar, Y. and Musen, M. A. (1996). Knowledge-Based Temporal Abstraction in Clinical Domains. Artificial Intelligence in Medicine 8(3):267–298.

    Google Scholar 

  • Shahar, Y. (in press). A Framework for Knowledge-Based Temporal Abstraction. Artificial Intelligence, forthcoming.

    Google Scholar 

  • Sherman, E. H., Hripcsak, G., Starren, J., Jender, R. A., and Clayton, P. (1995). Using Intermediate States to Improve the Ability of the Arden Syntax to Implement Care Plans and Reuse Knowledge. In Gardner, R. M. (Ed.) Proceedings of the Annual Symposium on Computer Applications in Medical Care (SCAMC-95), New Orleans, LA, 238–242. Hanley & Belfus.

    Google Scholar 

  • Tu, S. W., Eriksson, H., Gennari, J. H., Shahar, Y., and Musen, M. A. (1995). Ontology-Based Configuration of Problem-Solving Methods and Generation of Knowledge-Acquisition Tools: Application of PROTÉGÉ-II to Protocol-Based Decision Support. Artificial Intelligence in Medicine, 7(3):257–289.

    Google Scholar 

  • Tu, S. W., Kahn, M. G., Musen, M. A., Ferguson, J. C., Shortliffe, E. H., and Fagan, L. M. (1989). Episodic Skeletal-Plan Refinement on Temporal Data. Communications of ACM, 32:1439–1455.

    Google Scholar 

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Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

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© 1997 Springer-Verlag Berlin Heidelberg

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Shahar, Y., Miksch, S., Johnson, P. (1997). A task-specific ontology for the application and critiquing of time-oriented clinical guidelines. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029435

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  • DOI: https://doi.org/10.1007/BFb0029435

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

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