Abstract
Data, information, and knowledge in medicine is varied, changing, interrelated, and for diverse purposes. Medical and Clinical care depends on the correct and efficient combined application of these elements to concrete health care situations as prophylactics, screening, diagnosis, therapy, and prognosis. In this paper, we propose a Knowledge Management Architecture (KMA) to allow the integration of medical and clinical data, information and knowledge in a consistent and incremental way. The components of KMA are described and the already implemented parts are provided with references to papers where they are explained in more detail. For the first time, we present the conceptual integration of the isolated works performed in the research group of artificial intelligence of the Rovira i Virgili University and in collaboration with the Clinical Hospital of Barcelona, and the SAGESSA health care organization.
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Müller, H.J., Schappert, A.: The Knowledge Factory – A Generic Knowledge Management Architecture. In: Proceedings of IJCAI Workshop on Knowledge Management and Organisational Memory, Stockholm (1999)
Buist, A.S. (chair): Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease (2007), http://www.who.int/respiratory/copd/GOLD_WR_06.pdf (Last accessed: October 2009)
International Statistical Classification of Diseases and Related Health Problems, 10th Revision. World Health Organization, WHO (2007), http://apps.who.int/classifications/apps/icd/icd10online/ (Last accessed: October 2009)
Anatomical Therapeutic Chemical (ATC), 6th Edition. World Health Organization, WHO (2003), http://www.who.int/classifications/atcddd/en/ (Last accessed: October 2009)
Unified Medical Language System (UMLS), US National Library of Medicine (2009), http://www.nlm.nih.gov/research/umls/ (Last accessed: October 2009)
Donaldson, M., Yordy, K., Vanselow, N. (eds.): Defining primary care: an interim report. National Academy Press, Washington (1994)
Field, M.J., Lohr, K.H. (eds.): Clinical Practice Guidelines: Directions for a New Program, Institute of Medicine. National Academy Press, Washington (1990)
US National Guideline Clearninghouse, http://www.guideline.gov (Last accessed: October 2009)
UK eGuidelines Site, http://www.eguidelines.co.uk (Last accessed: October 2009)
CMA, http://www.cma.ca/index.cfm/ci_id/54296/la_id/1.htm (Last accessed: October 2009)
Campbell, H., Hotchkiss, R., Bradshaw, N., Porteous, M.: Integrated care pathways. BMJ. 316(7125), 133–137 (1998)
Peleg, M., Tu, S., Bury, J., Ciccarese, P., Fox, J., Greenes, R., et al.: Comparing Computer Interpretable Guideline Models: A Case-Study Approach. JAMIA 10(1), 52–68 (2003)
Riaño, D.: The SDA* Model: A Set Theory Approach. In: Proc. of the 20th IEEE International Symposium on Computer-Based Medical Systems, pp. 563–568 (2007)
Society for Medical Decision Making Committee on Standardization of Clinical Algorithms: Proposal for Clinical Algorithm Standards. Med. Decis. Making 12, 149–154 (1992)
Lindvall, M., Rus, I., Sinha, S.S.: Software systems support for knowledge management. Journal of Knowledge Management 7(5), 137–150 (2003)
Juarez, J.M., Riestra, T., Campos, M., Morales, A., et al.: Medical knowledge management for specific hospital departments. Exp. Sys. App. 36, 12214–12224 (2009)
Lawton, G.: Knowledge Management: Ready for Prime Time? IEEE Comp. 34(2), 12–14 (2001)
Riaño, D., Bohada, J.A., Real, F., López-Vallverdú, J.A.: The SDA* Data Model. HYGIA Project. Internal Report, http://banzai-deim.urv.net/~riano/TIN2006-15453/Documentos/DataModel01.pdf (Last accessed: October 2009)
Taboada, M., Meizoso, M., Riaño, D., et al.: From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds.) Proc. of the AIME 2009 Workshop on Knowledge Representation for Health-Care. LNCS (LNAI), vol. 5943. Springer, Heidelberg (2010)
Seyfang, A., Martínez-Salvador, B., Serban, R., Wittenberg, J., Miksch, S., Marcos, M., ten Teije, A., Rosenbrand, K.: Maintaining Formal Models of Living Guidelines Efficiently. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), vol. 4594, pp. 441–445. Springer, Heidelberg (2007)
Tomassini, P., Campana, F., et al.: D12.2 Validation and Assessment of platform – II (2009), http://www.k4care.net (Last accessed: October 2009)
Riaño, D., López-Vallverdú, J.A., Tu, S.: Mining Hospital Data to Learn SDA* Clinical Algorithms. In: Riaño, D. (ed.) K4CARE 2007. LNCS (LNAI), vol. 4924, pp. 46–61. Springer, Heidelberg (2008)
Abidi, S.R., Abidi, S.S.: Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling. In: Proc. of the ECAI 2008 Workshop Knowledge Management for HealthCare Processes. LNCS (LNAI), vol. 5651, pp. 81–85. Springer, Heidelberg (2009)
Real, F., Riaño, D.: An Autonomous Algorithm for Generating and Merging Clinical Algorithms. In: Proc. of the ECAI 2008 Workshop Knowledge Management for HealthCare Processes. LNCS (LNAI), vol. 5626, pp. 13–24. Springer, Heidelberg (2009)
Isern, D., Moreno, A., Pedone, G., Sánchez, D., Varga, L.Z.: Home Care Personalization with Individual Intervention Plans. In: Proc. of the ECAI 2008 Workshop Knowledge Management for HealthCare Processes. LNCS (LNAI), vol. 5626, pp. 134–151. Springer, Heidelberg (2009)
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Riaño, D. (2010). A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. Data, Processes and Guidelines. KR4HC 2009. Lecture Notes in Computer Science(), vol 5943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11808-1_15
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DOI: https://doi.org/10.1007/978-3-642-11808-1_15
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