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The enhancement of intra-operative diagnostics and decision-making using computational methods

The data presented and views expressed in this document are the result of multiple published and unpublished studies over the last 25 years. My over-arching goal in this research was to use modern computing power to create functionally useful diagnoses, in real time, from the monitoring systems used during routine anaesthesia and to present these diagnoses in an ergonomic manner. In addition it was intended to incorporate into the anaesthetic monitor, expert systems that help with the management of uncommon situations. The Australian and New Zealand College guidelines on monitoring during anaesthesia dictate those measurements that should be made during every anaesthetic; from these data evidence can be gathered, integrated, and presented to the clinician. Constraints in this field of research include the inability of the monitors to see, hear or understand the context of operating theatre activities, and computer processing time. Because many studies are involved the methods are detailed in the main text, and are not summarized here. Physiological 'envelopes' have been developed, in which the 'normal' variation in physiological variables, during anaesthesia, are enclosed. They have enabled the creation of intelligent alarm systems that can suggest diagnoses. A retrospective off-line study showed that it was possible to diagnose the onset of malignant hyperpyrexia, using fuzzy logic templates, about 10minutes earlier than the clinician. Some variables may be more important than others in making a diagnosis, and the strength of a diagnosis depends on the amount of supporting evidence, the amount of evidence not against the diagnosis and the amount of missing data. Decision-making (for example to transfuse or not transfuse blood) can also be mathematically modelled so that decision making is more consistent. Finally, investigation of the ways of displaying data indicates that the output can be very explicit. My overall conclusion is that real time decision support systems for the management of clinical dilemmas are possible. They can be instantly and easily accessible and can sit discretely in the background of anaesthetic monitors to be activated at will by the anaesthetist.

Identiferoai:union.ndltd.org:AUCKLAND/oai:researchspace.auckland.ac.nz:2292/74
Date January 2005
CreatorsHarrison, Michael J
PublisherResearchSpace@Auckland
Source SetsUniversity of Auckland
LanguageEnglish
Detected LanguageEnglish
TypeThesis
RightsItems in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated., http://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm, Copyright: The author
RelationPhD Thesis - University of Auckland, UoA1686907

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