A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines

Omar ElAssy; Rik de Vendt; Fabiano Dalpiaz; Sjaak Brinkkemper

doi:10.1007/978-3-031-07475-2_20

A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines

Omar ElAssy, Rik de Vendt, Fabiano Dalpiaz, Sjaak Brinkkemper

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

Abstract

The automated capturing and summarization of medical consultations has the potential to reduce the administrative burden in healthcare. Consultations are structured conversations that broadly follow a guideline with a systematic examination of predefined observations and symptoms to diagnose and treat well-defined medical conditions. A key component in automated conversation summarization is the matching of the knowledge graph of the consultation transcript with a medical domain ontology for the interpretation of the consultation conversation. Existing general medical ontologies such as SNOMED CT provide a taxonomic view on the terminology, but they do not capture the essence of the guidelines that define consultations. As part of our research on medical conversation summarization, this paper puts forward a semi-automated method for generating an ontological representation of a medical guideline. The method, which takes as input the well-known SNOMED CT nomenclature and a medical guideline, maps the guidelines to a so-called Medical Guideline Ontology (MGO), a machine-processable version of the guideline that can be used for interpreting the conversation during a consultation. We illustrate our approach by discussing the creation of an MGO of the medical condition of ear canal inflammation (Otitis Externa) given the corresponding guideline from a Dutch medical authority.

Original language	English
Title of host publication	Enterprise, Business-Process and Information Systems Modeling
Subtitle of host publication	23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6–7, 2022, Proceedings
Editors	Adriano Augusto, Asif Gill, Dominik Bork, Selmin Nurcan, Iris Reinhartz-Berger, Rainer Schmidt
Publisher	Springer
Pages	295-309
Number of pages	15
Edition	1
ISBN (Electronic)	978-3-031-07475-2
ISBN (Print)	978-3-031-07474-5
DOIs	https://doi.org/10.1007/978-3-031-07475-2_20
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	450
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Keywords

Domain ontology
Knowledge graph
Medical Guideline Ontology
Method engineering
SNOMED CT

Access to Document

10.1007/978-3-031-07475-2_20

978-3-031-07475-2_20Final published version, 1.26 MBLicence: Taverne

Cite this

ElAssy, O., de Vendt, R., Dalpiaz, F., & Brinkkemper, S. (2022). A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines. In A. Augusto, A. Gill, D. Bork, S. Nurcan, I. Reinhartz-Berger, & R. Schmidt (Eds.), Enterprise, Business-Process and Information Systems Modeling: 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6–7, 2022, Proceedings (1 ed., pp. 295-309). (Lecture Notes in Business Information Processing; Vol. 450). Springer. https://doi.org/10.1007/978-3-031-07475-2_20

ElAssy, Omar ; de Vendt, Rik ; Dalpiaz, Fabiano et al. / A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines. Enterprise, Business-Process and Information Systems Modeling: 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6–7, 2022, Proceedings. editor / Adriano Augusto ; Asif Gill ; Dominik Bork ; Selmin Nurcan ; Iris Reinhartz-Berger ; Rainer Schmidt. 1. ed. Springer, 2022. pp. 295-309 (Lecture Notes in Business Information Processing).

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ElAssy, O, de Vendt, R, Dalpiaz, F & Brinkkemper, S 2022, A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines. in A Augusto, A Gill, D Bork, S Nurcan, I Reinhartz-Berger & R Schmidt (eds), Enterprise, Business-Process and Information Systems Modeling: 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6–7, 2022, Proceedings. 1 edn, Lecture Notes in Business Information Processing, vol. 450, Springer, pp. 295-309. https://doi.org/10.1007/978-3-031-07475-2_20

A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines. / ElAssy, Omar; de Vendt, Rik; Dalpiaz, Fabiano et al.
Enterprise, Business-Process and Information Systems Modeling: 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6–7, 2022, Proceedings. ed. / Adriano Augusto; Asif Gill; Dominik Bork; Selmin Nurcan; Iris Reinhartz-Berger; Rainer Schmidt. 1. ed. Springer, 2022. p. 295-309 (Lecture Notes in Business Information Processing; Vol. 450).

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

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ElAssy O, de Vendt R, Dalpiaz F , Brinkkemper S. A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines. In Augusto A, Gill A, Bork D, Nurcan S, Reinhartz-Berger I, Schmidt R, editors, Enterprise, Business-Process and Information Systems Modeling: 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6–7, 2022, Proceedings. 1 ed. Springer. 2022. p. 295-309. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-031-07475-2_20

A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

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