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15 - General Engineering

Teesside University

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Output 3 of 47 in the submission

Article title

A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part I: Physiological modelling and decision support system design

Type

D - Journal article

DOI

10.1016/j.artmed.2008.11.009

Title of journal

Artificial Intelligence in Medicine

Article number

Volume number

Issue number

First page of article

ISSN of journal

09333657

Year of publication

2009

URL

http://linkinghub.elsevier.com/retrieve/pii/S0933365708001784

Number of additional authors

Additional information

The proposed “intelligent” clinical decision support system (CDSS) in this paper continuously monitors and analyses patients’ vital signs using the LiDCOplus Cardiovascular Monitor (http://www.lidco.com/) and recommends appropriate drug infusion rates for precise cardiovascular control. Patient trials at the Northern General Hospital, Sheffield (United Kingdom) were rated excellent by senior anaesthetists. Upgrades currently under development will enhance functionality and performance with intelligent learning capability providing an automatic update of reasoning rules when CDSS recommendations are overridden. (Contact Dr Jonathan Ross (J.J.Ross@sheffield.ac.uk))

The project was awarded Top Prize in the Software and ICT Category at Medipex NHS Innovation Awards Ceremony 2010(http://www.medipex.co.uk/content.aspx?Page=Software%201%202010).

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract