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Slonim, N.; Carmeli, B.; Goldsteen, A.; Keller, O.; Kent, C. and Rinott, R.
(2012).
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.
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- Item ORO ID
- 80075
- Item Type
- Conference or Workshop Item
- Keywords
- Analytics; Clinical Decision Support; Hypertension
- Academic Unit or School
- Faculty of Wellbeing, Education and Language Studies (WELS)
- Depositing User
- Carmel Kent