Abstract
PACS/RIS systems store a huge volume of clinical data that are mostly accessed by the patient identifier. However, clinicians would like to retrieve information about similar clinical cases. In this paper, we claim that the semantics-based technology could improve the discovery and integration of information in this type of systems. We propose a semantic approach that semantically annotates the clinical information and retrieves the resources relevant to the clinician’s query, independently of their language and format. Moreover, cloud-based systems allow the integration with external resources. In this paper, we present preliminary results that show that current semantic technologies can produce good enough results to perform classification and retrieval tasks.
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Berlanga, R., Pérez, M., Museros, L., Forcada, R. (2013). Semantic Discovery of Resources in Cloud-Based PACS/RIS Systems. In: Forner, P., Müller, H., Paredes, R., Rosso, P., Stein, B. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visualization. CLEF 2013. Lecture Notes in Computer Science, vol 8138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40802-1_21
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DOI: https://doi.org/10.1007/978-3-642-40802-1_21
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