@inproceedings{312296feba4a42fd93ec4567755013d2,
title = "META-GLARE: A meta-engine for executing computer interpretable guidelines",
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.",
keywords = "CIG execution, Computer interpretable guideline (CIG), Meta CIG system, Metamodeling for healthcare systems, System architecture",
author = "Alessio Bottrighi and Stefania Rubrichi and Paolo Terenziani",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 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 ; Conference date: 20-06-2015 Through 20-06-2015",
year = "2015",
doi = "10.1007/978-3-319-26585-8_3",
language = "English",
isbn = "9783319265841",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "37--50",
editor = "Manfred Reichert and David Ria{\~n}o and Mor Peleg and {ten Teije}, Annette and Richard Lenz and Silvia Miksch",
booktitle = "Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers",
address = "Germany",
}