Partitioning knowledge bases between advanced notification and clinical decision support systems

Yves A. Lussier; Rose Williams; Jianrong Li; Srikant Jalan; Tara Borlawsky; Edie Stern; Inderpal Kohli

doi:10.1016/j.dss.2006.02.006

Partitioning knowledge bases between advanced notification and clinical decision support systems

Yves A. Lussier, Rose Williams, Jianrong Li, Srikant Jalan, Tara Borlawsky, Edie Stern, Inderpal Kohli

Medicine

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Clinical decision support system (CDSS) and their logic syntax include the coding of notifications (e.g., Arden Syntax). The following paper will describe the rationale for segregating policies, user preferences and clinical monitoring rules into "advanced notification" and" clinical" components, which together form a novel and complex CDSS. Notification rules and hospital policies are respectively abstracted from care-provider roles and alerting mechanisms. User-defined preferences determine which devices are to be used for receiving notifications. Our design differs from previous notification systems because it integrates a versatile notification platform supporting a wide range of mobile devices with a XML/HL-7 compliant communication protocol.

Original language	English (US)
Pages (from-to)	1274-1286
Number of pages	13
Journal	Decision Support Systems
Volume	43
Issue number	4
DOIs	https://doi.org/10.1016/j.dss.2006.02.006
State	Published - Aug 2007

Keywords

Clinical decision support system
Clinical event monitor
Knowledge bases
Knowledge partition
Notification attributes

ASJC Scopus subject areas

Management Information Systems
Information Systems
Developmental and Educational Psychology
Arts and Humanities (miscellaneous)
Information Systems and Management

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10.1016/j.dss.2006.02.006

Cite this

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AU - Lussier, Yves A.

AU - Williams, Rose

AU - Li, Jianrong

AU - Jalan, Srikant

AU - Borlawsky, Tara

AU - Stern, Edie

AU - Kohli, Inderpal

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KW - Knowledge partition

KW - Notification attributes

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Partitioning knowledge bases between advanced notification and clinical decision support systems

Abstract

Keywords

ASJC Scopus subject areas

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