A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity

Veruska Zamborlini; Rinke Hoekstra; Marcos Da Silveira; CéDric Pruski; Annette Ten Teije; Frank Van Harmelen

doi:10.1007/978-3-319-13704-9_44

A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity

Veruska Zamborlini, Rinke Hoekstra, Marcos Da Silveira, CéDric Pruski, Annette Ten Teije, Frank Van Harmelen

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

16 Scopus citations

Abstract

Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.

Original language	English
Title of host publication	Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings
Editors	Krzysztof Janowicz, Stefan Schlobach, Patrick Lambrix, Eero Hyvönen
Publisher	Springer Verlag
Pages	591-606
Number of pages	16
ISBN (Electronic)	9783319137032
DOIs	https://doi.org/10.1007/978-3-319-13704-9_44
State	Published - 2014
Externally published	Yes
Event	19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014 - Linköping, Sweden Duration: Nov 24 2014 → Nov 28 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8876
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014
Country/Territory	Sweden
City	Linköping
Period	11/24/14 → 11/28/14

Keywords

Clinical knowledge representation
Combining medical guidelines
Multimorbidity
Reasoning

Access to Document

10.1007/978-3-319-13704-9_44

Cite this

Zamborlini, V., Hoekstra, R., Silveira, M. D., Pruski, C., Teije, A. T., & Harmelen, F. V. (2014). A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity. In K. Janowicz, S. Schlobach, P. Lambrix, & E. Hyvönen (Eds.), Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings (pp. 591-606). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8876). Springer Verlag. https://doi.org/10.1007/978-3-319-13704-9_44

Zamborlini, Veruska ; Hoekstra, Rinke ; Silveira, Marcos Da et al. / A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity. Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings. editor / Krzysztof Janowicz ; Stefan Schlobach ; Patrick Lambrix ; Eero Hyvönen. Springer Verlag, 2014. pp. 591-606 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.",

keywords = "Clinical knowledge representation, Combining medical guidelines, Multimorbidity, Reasoning",

author = "Veruska Zamborlini and Rinke Hoekstra and Silveira, {Marcos Da} and C{\'e}Dric Pruski and Teije, {Annette Ten} and Harmelen, {Frank Van}",

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Zamborlini, V, Hoekstra, R, Silveira, MD, Pruski, C, Teije, AT & Harmelen, FV 2014, A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity. in K Janowicz, S Schlobach, P Lambrix & E Hyvönen (eds), Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8876, Springer Verlag, pp. 591-606, 19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014, Linköping, Sweden, 11/24/14. https://doi.org/10.1007/978-3-319-13704-9_44

A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity. / Zamborlini, Veruska; Hoekstra, Rinke; Silveira, Marcos Da et al.
Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings. ed. / Krzysztof Janowicz; Stefan Schlobach; Patrick Lambrix; Eero Hyvönen. Springer Verlag, 2014. p. 591-606 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8876).

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

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AU - Hoekstra, Rinke

AU - Silveira, Marcos Da

AU - Pruski, CéDric

AU - Teije, Annette Ten

AU - Harmelen, Frank Van

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

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N2 - Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.

AB - Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.

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Y2 - 24 November 2014 through 28 November 2014

ER -

Zamborlini V, Hoekstra R, Silveira MD, Pruski C, Teije AT, Harmelen FV. A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity. In Janowicz K, Schlobach S, Lambrix P, Hyvönen E, editors, Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings. Springer Verlag. 2014. p. 591-606. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-13704-9_44

A conceptual model for detecting interactions among medical recommendations in clinical guidelines a case-study on multimorbidity

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