Graduation Semester and Year

2007

Language

English

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Engineering

First Advisor

David Levine

Abstract

Increasing life expectancy accompanied by existing growth of wireless infrastructure and ubiquitous computing technologies has given healthcare providers access to vital information within their healthcare networks. Medical decision support systems (MDSS) play an increasingly important role in medical practice by assisting physicians with making clinical decisions. MDSS are interactive computer programs, which are designed to assist physicians and other health professionals with decision making. Currently, the strategies for providing MDSS has failed, in part, because they have not provided a secure, timely access to information that is current, ability to modify their knowledge base without hard coding them in their system. To eliminate some or all the problem noted above, this paper proposes a new Medical Decision Support Systems called OGU using Augmentable Guideline Engine. The guideline engine is base on the InterMed project's GLIF; InterMed project is a collaboration among medical informatics groups.

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Comments

Degree granted by The University of Texas at Arlington

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