Awakening Clinical Data: Semantics for Scalable Medical Research Informatics
by satyasanket on Jul 07, 2012
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Health care data is growing at an explosive rate, with highly detailed physiological processes being recorded, high resolution scanning techniques (e.g. MRI), wireless health monitoring systems, and ...
Health care data is growing at an explosive rate, with highly detailed physiological processes being recorded, high resolution scanning techniques (e.g. MRI), wireless health monitoring systems, and also traditional patient information moving towards Electronic Medical Records (EMR) systems. The challenges in leveraging this huge data resources and transforming to knowledge for improving patient care, includes the size of datasets, multi-modality, and traditional forms of heterogeneity (syntactic, structural, and semantic). In addition, the US NIH is emphasizing more multi-center clinical studies that increases complexity of data access, sharing, and integration. In this talk, I explore the potential solutions for these challenges that can use semantics of clinical data - both implicit and explicit, together with the Semantic Web technologies. I specifically discuss the ontology-driven Physio-MIMI platform for clinical data management in multi-center research studies.
Further Details: http://cci.case.edu/cci/index.php/Satya_Sahoo
Presentation at: Dagsthul Seminar: Semantic Data Management 2012
Author: Satya S. Sahoo
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