A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity

Martin Michalowski; Marisela Mainegra Hing; Szymon Wilk; Wojtek Michalowski; Ken Farion

doi:10.1007/978-3-642-22218-4_37

A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity

Martin Michalowski, Marisela Mainegra Hing, Szymon Wilk, Wojtek Michalowski, Ken Farion

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

This paper describes a novel methodological approach to identifying inconsistencies when concurrently using multiple clinical practice guidelines. We discuss how to construct a formal guideline model using Constraint Logic Programming, chosen for its ability to handle relationships between patient information, diagnoses, and treatment suggestions. We present methods to identify inconsistencies that are manifested by treatment-treatment and treatment-disease interactions associated with comorbidity. Using an open source constraint programming system (ECLiPSe), we demonstrate the ability of our approach to find treatment given incomplete patient data and to identify possible inconsistencies.

Original language	English (US)
Title of host publication	Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings
Pages	296-301
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-22218-4_37
State	Published - 2011
Externally published	Yes
Event	13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia Duration: Jul 2 2011 → Jul 6 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6747 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th Conference on Artificial Intelligence in Medicine, AIME 2011
Country/Territory	Slovenia
City	Bled
Period	7/2/11 → 7/6/11

Keywords

Clinical practice guideline
Constraint Logic Programming
comorbidity

Publisher link

10.1007/978-3-642-22218-4_37

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Michalowski, M., Mainegra Hing, M., Wilk, S., Michalowski, W., & Farion, K. (2011). A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity. In Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings (pp. 296-301). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI). https://doi.org/10.1007/978-3-642-22218-4_37

A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity. / Michalowski, Martin; Mainegra Hing, Marisela; Wilk, Szymon et al.

Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. p. 296-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Michalowski, M, Mainegra Hing, M, Wilk, S, Michalowski, W & Farion, K 2011, A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity. in Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6747 LNAI, pp. 296-301, 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, 7/2/11. https://doi.org/10.1007/978-3-642-22218-4_37

Michalowski M, Mainegra Hing M, Wilk S, Michalowski W, Farion K. A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity. In Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. p. 296-301. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-22218-4_37

Michalowski, Martin ; Mainegra Hing, Marisela ; Wilk, Szymon et al. / A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity. Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. pp. 296-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper describes a novel methodological approach to identifying inconsistencies when concurrently using multiple clinical practice guidelines. We discuss how to construct a formal guideline model using Constraint Logic Programming, chosen for its ability to handle relationships between patient information, diagnoses, and treatment suggestions. We present methods to identify inconsistencies that are manifested by treatment-treatment and treatment-disease interactions associated with comorbidity. Using an open source constraint programming system (ECLiPSe), we demonstrate the ability of our approach to find treatment given incomplete patient data and to identify possible inconsistencies.",

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A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity

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