META-GLARE: A meta-engine for executing computer interpretable guidelines

Alessio Bottrighi; Stefania Rubrichi; Paolo Terenziani

doi:10.1007/978-3-319-26585-8_3

META-GLARE: A meta-engine for executing computer interpretable guidelines

Alessio Bottrighi
, Stefania Rubrichi
, Paolo Terenziani

Department of Science and Technological Innovation

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

Abstract

Clinical practice guidelines (CPGs) play an important role in medical practice, and computerized support to CPGs is now one of the most central areas of research in Artificial Intelligence in medicine. In recent years, many groups have developed different computer-assisted management systems of Computer Interpretable Guidelines (CIGs). We propose a generalization: META-GLARE is a “meta”-system (or, in other words, a shell) to define new CIG systems. It takes as input a representation formalism for CIGs, and automatically provides acquisition, consultation and execution engines for it. Our meta-approach has several advantages, such as generality and, above all, flexibility and extendibility. While the meta-engine for acquisition has been already described, in this paper we focus on the execution (meta-)engine.

Original language	English
Title of host publication	Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers
Editors	Manfred Reichert, David Riaño, Mor Peleg, Annette ten Teije, Richard Lenz, Silvia Miksch
Publisher	Springer Verlag
Pages	37-50
Number of pages	14
ISBN (Print)	9783319265841
DOIs	https://doi.org/10.1007/978-3-319-26585-8_3
Publication status	Published - 2015
Event	Artificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015 - Pavia, Italy Duration: 20 Jun 2015 → 20 Jun 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9485
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Artificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015
Country/Territory	Italy
City	Pavia
Period	20/06/15 → 20/06/15

Keywords

CIG execution
Computer interpretable guideline (CIG)
Meta CIG system
Metamodeling for healthcare systems
System architecture

Access to Document

10.1007/978-3-319-26585-8_3

Cite this

Bottrighi, A., Rubrichi, S., & Terenziani, P. (2015). META-GLARE: A meta-engine for executing computer interpretable guidelines. In M. Reichert, D. Riaño, M. Peleg, A. ten Teije, R. Lenz, & S. Miksch (Eds.), Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers (pp. 37-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9485). Springer Verlag. https://doi.org/10.1007/978-3-319-26585-8_3

Bottrighi, Alessio ; Rubrichi, Stefania ; Terenziani, Paolo. / META-GLARE : A meta-engine for executing computer interpretable guidelines. Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers. editor / Manfred Reichert ; David Riaño ; Mor Peleg ; Annette ten Teije ; Richard Lenz ; Silvia Miksch. Springer Verlag, 2015. pp. 37-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Clinical practice guidelines (CPGs) play an important role in medical practice, and computerized support to CPGs is now one of the most central areas of research in Artificial Intelligence in medicine. In recent years, many groups have developed different computer-assisted management systems of Computer Interpretable Guidelines (CIGs). We propose a generalization: META-GLARE is a “meta”-system (or, in other words, a shell) to define new CIG systems. It takes as input a representation formalism for CIGs, and automatically provides acquisition, consultation and execution engines for it. Our meta-approach has several advantages, such as generality and, above all, flexibility and extendibility. While the meta-engine for acquisition has been already described, in this paper we focus on the execution (meta-)engine.",

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Bottrighi, A, Rubrichi, S & Terenziani, P 2015, META-GLARE: A meta-engine for executing computer interpretable guidelines. in M Reichert, D Riaño, M Peleg, A ten Teije, R Lenz & S Miksch (eds), Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9485, Springer Verlag, pp. 37-50, Artificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015, Pavia, Italy, 20/06/15. https://doi.org/10.1007/978-3-319-26585-8_3

META-GLARE: A meta-engine for executing computer interpretable guidelines. / Bottrighi, Alessio; Rubrichi, Stefania; Terenziani, Paolo.
Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers. ed. / Manfred Reichert; David Riaño; Mor Peleg; Annette ten Teije; Richard Lenz; Silvia Miksch. Springer Verlag, 2015. p. 37-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9485).

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

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AU - Bottrighi, Alessio

AU - Rubrichi, Stefania

AU - Terenziani, Paolo

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Clinical practice guidelines (CPGs) play an important role in medical practice, and computerized support to CPGs is now one of the most central areas of research in Artificial Intelligence in medicine. In recent years, many groups have developed different computer-assisted management systems of Computer Interpretable Guidelines (CIGs). We propose a generalization: META-GLARE is a “meta”-system (or, in other words, a shell) to define new CIG systems. It takes as input a representation formalism for CIGs, and automatically provides acquisition, consultation and execution engines for it. Our meta-approach has several advantages, such as generality and, above all, flexibility and extendibility. While the meta-engine for acquisition has been already described, in this paper we focus on the execution (meta-)engine.

AB - Clinical practice guidelines (CPGs) play an important role in medical practice, and computerized support to CPGs is now one of the most central areas of research in Artificial Intelligence in medicine. In recent years, many groups have developed different computer-assisted management systems of Computer Interpretable Guidelines (CIGs). We propose a generalization: META-GLARE is a “meta”-system (or, in other words, a shell) to define new CIG systems. It takes as input a representation formalism for CIGs, and automatically provides acquisition, consultation and execution engines for it. Our meta-approach has several advantages, such as generality and, above all, flexibility and extendibility. While the meta-engine for acquisition has been already described, in this paper we focus on the execution (meta-)engine.

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KW - Metamodeling for healthcare systems

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SN - 9783319265841

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

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A2 - Peleg, Mor

A2 - ten Teije, Annette

A2 - Lenz, Richard

A2 - Miksch, Silvia

PB - Springer Verlag

Y2 - 20 June 2015 through 20 June 2015

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Bottrighi A, Rubrichi S, Terenziani P. META-GLARE: A meta-engine for executing computer interpretable guidelines. In Reichert M, Riaño D, Peleg M, ten Teije A, Lenz R, Miksch S, editors, Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers. Springer Verlag. 2015. p. 37-50. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-26585-8_3

META-GLARE: A meta-engine for executing computer interpretable guidelines

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