By Topic

Quality Improvement through a Reminder System in an Outpatient Department for Thyroid Disease

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Reitstatter, M. ; Core Unit for Med. Stat. & Inf., Med. Univ. of Vienna, Vienna ; Vierhapper, H. ; Rappelsberger, A. ; Adlassnig, K.-P.

We discuss a reminder system that automatically interprets the results of routine biochemical tests for thyroid hormones. We measured serum levels of thyroid stimulating hormone(TSH), total thyroxin (TT4), triiodothyronine (TT3), thyroxin-binding globulin (TBG), and thyrotropin-releasing hormone (TRH)-stimulated TSH (sTSH [1,2]). The developed knowledge base was used to compare and rate these results with a defined set of diagnoses. Various forms of altered thyroid and/or pituitary function [3-8] were considered. For a given combination of test results, the reminder system classified the entered diagnoses as "obligatory", "possible", or "excluded". The knowledge base is now part of a medical documentation system at the outpatient thyroid department of the Division of Endocrinology and Metabolism of the Vienna General Hospital. We report an evaluation performed after six months of operation. Although further improvement will be required, the knowledge-based reminder system in its present form is capable of improving the quality of manually entered diagnoses.

Published in:

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Date of Conference:

Nov. 28 2006-Dec. 1 2006