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Diagnesia: A Prototype of a Decision Support System for Anesthetists

Kizito, J. (2006) Diagnesia: A Prototype of a Decision Support System for Anesthetists. Master's Thesis / Essay, Computing Science.

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Abstract

Anesthesiology deals with such a complex social system that it can spawn over an infinite number of states. The complexity of modern anesthesia procedures requires the development of sophisticated workstations with built-in decision support systems (DSS) having smart-alarm capacity. In this Thesis, methods used by a prototype (Diagnesia) of a DSS for anesthetists are presented. During surgery, Diagnesia uses patient data recorded to continuously estimate probabilities and improbabilities for diagnoses, applying arguments for and against the different diagnoses, and presents the most probable diagnoses to the anesthetist. The intended DSS is not meant to replace the current monitors or anesthetists but rather to facilitate decision making by improving situation awareness. Although the methods presented were not tested against a panel of anesthetists as planned, an approach for making the tests is presented.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:30
Last Modified: 15 Feb 2018 07:30
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/8946

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