Knowledge-analytics synergy in clinical decision support

Slonim, N.; Carmeli, B.; Goldsteen, A.; Keller, O.; Kent, C. and Rinott, R. (2012). Knowledge-analytics synergy in clinical decision support. In: Quality of Life through Quality of Information. Studies in Health Technology and Informatics, 180 pp. 703–707.



Clinical Decision Support (CDS) systems hold tremendous potential for improving patient care. Most existing systems are knowledge-based tools that rely on relatively simple rules. More recent approaches rely on analytics techniques to automatically mine EHR data to reveal meaningful insights. Here, we propose the Knowledge-Analytics Synergy paradigm for CDS, in which we synergistically combine existing relevant knowledge with analytics applied to EHR data. We propose a framework for implementing such a paradigm and demonstrate its principles over real-world clinical and genomic data of hypertensive patients.

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