Knowledge-analytics synergy in clinical decision support

Noam Slonim; Boaz Carmeli; Abigail Goldsteen; Oliver Keller; Carmel Kent; Ruty Rinott

doi:10.3233/978-1-61499-101-4-7031

Knowledge-analytics synergy in clinical decision support

Noam Slonim, Boaz Carmeli, Abigail Goldsteen, Oliver Keller, Carmel Kent, Ruty Rinott

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Quality of Life Through Quality of Information - Proceedings of MIE 2012
Publisher	IOS Press
Pages	703-707
Number of pages	5
ISBN (Print)	9781614991007
DOIs	https://doi.org/10.3233/978-1-61499-101-4-7031
State	Published - 2012
Event	24th Medical Informatics in Europe Conference, MIE 2012 - Pisa, Italy Duration: 26 Aug 2012 → 29 Aug 2012

Publication series

Name	Studies in Health Technology and Informatics
Volume	180
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	24th Medical Informatics in Europe Conference, MIE 2012
Country/Territory	Italy
City	Pisa
Period	26/08/12 → 29/08/12

Keywords

Analytics
Clinical Decision Support
Hypertension
Knowledge-based

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-101-4-7031

Cite this

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title = "Knowledge-analytics synergy in clinical decision support",

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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author = "Noam Slonim and Boaz Carmeli and Abigail Goldsteen and Oliver Keller and Carmel Kent and Ruty Rinott",

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language = "English",

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Slonim, N, Carmeli, B, Goldsteen, A, Keller, O, Kent, C & Rinott, R 2012, Knowledge-analytics synergy in clinical decision support. in Quality of Life Through Quality of Information - Proceedings of MIE 2012. Studies in Health Technology and Informatics, vol. 180, IOS Press, pp. 703-707, 24th Medical Informatics in Europe Conference, MIE 2012, Pisa, Italy, 26/08/12. https://doi.org/10.3233/978-1-61499-101-4-7031

Knowledge-analytics synergy in clinical decision support. / Slonim, Noam; Carmeli, Boaz; Goldsteen, Abigail et al.
Quality of Life Through Quality of Information - Proceedings of MIE 2012. IOS Press, 2012. p. 703-707 (Studies in Health Technology and Informatics; Vol. 180).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Keller, Oliver

AU - Kent, Carmel

AU - Rinott, Ruty

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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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SN - 9781614991007

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BT - Quality of Life Through Quality of Information - Proceedings of MIE 2012

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T2 - 24th Medical Informatics in Europe Conference, MIE 2012

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Knowledge-analytics synergy in clinical decision support

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this