Formalising medical quality indicators to improve guidelines

Marjolein Van Gendt*, Annette Ten Teije, Radu Serban, Frank Van Harmelen

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Medical guidelines can significantly improve quality of medical care and reduce costs. But how do we get sound and well-structured guidelines? This paper investigates the use of quality indicators that are formulated by medical institutions to evaluate medical care. The main research questions are (i) whether it is possible to formalise those indicators in a specific knowledge representation language for medical guidelines, and (ii) whether it is possible to verify whether such guidelines do indeed satisfy these indicators. In a case study on two real-life guidelines (Diabetes and Jaundice) we have studied 35 indicators, that were developped independently from these guidelines. Of these 25 (71%!) suggested anomalies in one of the guidelines in our case study.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages201-210
Number of pages10
Volume3581 LNAI
Publication statusPublished - 2005
Event10th Conference on Artificial Intelligence in Medicine, AIME 2005 - Aberdeen, United Kingdom
Duration: 23 Jul 200527 Jul 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3581 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference10th Conference on Artificial Intelligence in Medicine, AIME 2005
Country/TerritoryUnited Kingdom
CityAberdeen
Period23/07/0527/07/05

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