Formalising medical quality indicators to improve guidelines

Marjolein Van Gendt; Annette Ten Teije; Radu Serban; Frank Van Harmelen

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	201-210
Number of pages	10
Volume	3581 LNAI
Publication status	Published - 2005
Event	10th Conference on Artificial Intelligence in Medicine, AIME 2005 - Aberdeen, United Kingdom Duration: 23 Jul 2005 → 27 Jul 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3581 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	10th Conference on Artificial Intelligence in Medicine, AIME 2005
Country/Territory	United Kingdom
City	Aberdeen
Period	23/07/05 → 27/07/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Persistent URL (handle)

Persistent link

Cite this

Van Gendt, M., Ten Teije, A., Serban, R., & Van Harmelen, F. (2005). Formalising medical quality indicators to improve guidelines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3581 LNAI, pp. 201-210). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3581 LNAI).

Van Gendt, Marjolein ; Ten Teije, Annette ; Serban, Radu et al. / Formalising medical quality indicators to improve guidelines. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3581 LNAI 2005. pp. 201-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Formalising medical quality indicators to improve guidelines",

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.",

author = "\{Van Gendt\}, Marjolein and \{Ten Teije\}, Annette and Radu Serban and \{Van Harmelen\}, Frank",

year = "2005",

language = "English",

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volume = "3581 LNAI",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "201--210",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

note = "10th Conference on Artificial Intelligence in Medicine, AIME 2005 ; Conference date: 23-07-2005 Through 27-07-2005",

}

Van Gendt, M, Ten Teije, A, Serban, R & Van Harmelen, F 2005, Formalising medical quality indicators to improve guidelines. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3581 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3581 LNAI, pp. 201-210, 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, United Kingdom, 23/07/05.

Formalising medical quality indicators to improve guidelines. / Van Gendt, Marjolein; Ten Teije, Annette; Serban, Radu et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3581 LNAI 2005. p. 201-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3581 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Formalising medical quality indicators to improve guidelines

AU - Van Gendt, Marjolein

AU - Ten Teije, Annette

AU - Serban, Radu

AU - Van Harmelen, Frank

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/26944451270#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:26944451270

SN - 3540278311

SN - 9783540278313

VL - 3581 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 201

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 10th Conference on Artificial Intelligence in Medicine, AIME 2005

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ER -

Van Gendt M, Ten Teije A, Serban R, Van Harmelen F. Formalising medical quality indicators to improve guidelines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3581 LNAI. 2005. p. 201-210. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Formalising medical quality indicators to improve guidelines

Abstract

Publication series

Conference

UN SDGs

Persistent URL (handle)

Other files and links

Cite this