The SDA Model: A Set Theory Approach
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Maintaining Formal Models of Living Guidelines Efficiently
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Medical knowledge management for specific hospital departments
Expert Systems with Applications: An International Journal
Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
An Autonomous Algorithm for Generating and Merging Clinical Algorithms
Knowledge Management for Health Care Procedures
Home Care Personalisation with Individual Intervention Plans
Knowledge Management for Health Care Procedures
Mining hospital data to learn SDA* clinical algorithms
AIME'07 Proceedings of the 2007 conference on Knowledge management for health care procedures
From natural language descriptions in clinical guidelines to relationships in an ontology
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
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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.