Adaptive multi-infusion decision support for multivariable circulatory management of criticially ill patients

Bancroft, Jayne, Fraser, John F. and Mason, David. G. (2010). Adaptive multi-infusion decision support for multivariable circulatory management of criticially ill patients. In: 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10), Buenos Aires, Argentina, (426-429). 31 August-4 September, 2010.


Author Bancroft, Jayne
Fraser, John F.
Mason, David. G.
Title of paper Adaptive multi-infusion decision support for multivariable circulatory management of criticially ill patients
Conference name 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10)
Conference location Buenos Aires, Argentina
Conference dates 31 August-4 September, 2010
Journal name IEEE Reviews in Biomedical Engineering   Check publisher's open access policy
Place of Publication Piscataway, NJ, U.S.A.
Publisher IEEE Engineering in Medicine and Biology Society : IEEE Consumer Electronics Society
Publication Year 2010
Sub-type Fully published paper
DOI 10.1109/IEMBS.2010.5627373
ISBN 9781424441235
ISSN 1937-3333
Volume 2010
Start page 426
End page 429
Total pages 4
Collection year 2011
Language eng
Abstract/Summary We have developed a novel adaptive multiinfusion advisory system for circulatory management of critically ill patients which co-ordinates infusion adjustments to ensure safe trajectories. This system should reduce patient hospital stay and improve patient outcome by enhancing the quality of patient circulatory control; alleviating the clinical cognitive load, giving staff more time for direct patient care, while also reducing infusion adjustment errors. We have applied three derived circulatory variables which relate to the three main types of cardiovascular infusions (inotropic, vasoactive and fluid). A lumped parameter steady flow model of the human circulatory system and the effects of cardiovascular infusions was constructed for algorithm development, clinical experts providing feedback on a representative test set of simulated patients in circulatory shock. Independent self-learning fuzzy logic controllers (SLFLC) were found to give good adaptation to variable patient infusion sensitivities. A supervisory, rule-based module co-ordinates infusion adjustments to ensure safe circulatory trajectories. Monitoring of manual infusion adjustments allows timely advice and also a critiquing capability which can train junior staff and reduce infusion adjustment errors. A physical mock circulatory loop was used to construct and test our physical advisory system. Preliminary clinical results show good clinical utility of our adaptive multi-infusion advisory system.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Fri, 11 Mar 2011, 12:16:36 EST by Dr David Mason on behalf of School of Information Technol and Elec Engineering