Abstract
This paper describes a knowledge acquisition tool for translating a guideline recommendation into a computer-interpretable format. The novelty of the tool is that it is addressed to the domain experts, and it helps them to disambiguate the natural language, by decomposing the recommendation into elements, eliciting tacit and implicit knowledge hidden into a recommendation and its context, mapping patient’s data, available from the electronic record, to standard terms and immediately testing the formalised rule using past cases data.
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Panzarasa, S., Maddè, S., Quaglini, S., Pistarini, C., Stefanelli, M.: Evidence-based careflow management systems: the case of post-stroke rehabilitation. Journal of Biomedical Informatics 35, 123–139 (2002)
Panzarasa, S., Quaglini, S., Cavallini, A., Marcheselli, S., Stefanelli, M., Micieli, G.: Computerised Guidelines Implementation: Obtaining Feedback for Revision of Guidelines, Clinical Data Model and Data Flow. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), vol. 4594, pp. 461–466. Springer, Heidelberg (2007)
Musen, M.A.: An overview of knowledge Acquisition. In: David, J.M., Krivine, J.P., Simmons, R. (eds.) Second Generation Expert Systems, pp. 405–427. Springer, New York (1993)
Lanzola, G., Quaglini, S., Stefanelli, M.: Knowledge-Acquisition Tools for Medical Knowledge-Based Systems. Methods of Information in Medicine 34, 25–39 (1995)
Serban, R., Puig-Centelles, A., ten Teije, A.: Incremental guideline formalization with tool support. Artificial Intelligence Applications and Innovations IFIP International Federation for Information Processing 204, 106–118 (2006)
Terenziani, P., Montani, S., Bottrighi, A., Molino, G., Torchio, M.: Applying artificial intelligence to clinical guidelines: the GLARE approach. Studies in Health Technology and Informatics 139, 273–282 (2008)
Peleg, M., Sagi, K., Denekamp, Y.: Mapping Computerized Clinical Guidelines to Electronic Medical Records: Knowledge-Data Ontological Mapper (KDOM). Journal of Biomedical Informatics 41(1), 180–201 (2008)
Shiffman, R.N., Michel, G., Essaihi, A.: Bridging the guideline implementation gap: a systematic approach to document-centered guideline implementation. J. Am. Med. Informatics Assoc. 11, 418–426 (2004)
Peleg, M., Tu, S., Bury, J., Ciccarese, P., Fox, J., Greenes, R.A., Hall, R., Johnson, P.D., Jones, N., Kumar, A., Miksch, S., Quaglini, S., Seyfang, A., Shortliffe, E.H., Stefanelli, M.: Comparing computer-interpretable guideline models: a case-study approach. J. Am. Med. Inform. Assoc. 10(1), 52–68 (2003)
Sharda, P., Das, A., Cohen, T., Patel, V.: Customizing clinical narratives for the electronic medical record interface using cognitive methods. International Journal of Medical Informatics 75, 346–368 (2006)
Gschwandtner, T., Kaiser, K., Miksch, S.: Information requisition is the core of guideline-based medical care: which information is needed for whom? Journal of Evaluation in Clinical Practice, 1–9 (August 2010)
SPREAD – Stroke Prevention and Educational Awareness Diffusion. Edition of February 16 (2007), http://www.spread.it
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Quaglini, S., Panzarasa, S., Cavallini, A., Micieli, G. (2011). Guideline Recommendation Text Disambiguation, Representation and Testing. In: Peleg, M., Lavrač, N., Combi, C. (eds) Artificial Intelligence in Medicine. AIME 2011. Lecture Notes in Computer Science(), vol 6747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22218-4_40
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DOI: https://doi.org/10.1007/978-3-642-22218-4_40
Publisher Name: Springer, Berlin, Heidelberg
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