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.

DOI: https://doi.org/10.3233/978-1-61499-101-4-703

Abstract

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.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI