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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The research described in this paper has been partially supported by Compagnia San Paolo, within the GINSENG project.
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Appendix
Algorithm Algo 2 in the following describes how to update of the execution tree, in case of “go_on” modality.
Once a node has been executed, it is deleted from the execution tree. In case there are concurrent nodes to be executed (brothers) (line 5), the executor simply has to operate on such a new tree. Otherwise (lines 7–13), the deleted node has to be substituted by the immediately-next nodes to be executed in the CIG (in the case of concurrent actions, there is more then one “immediatly-next” node to be considered). The function get_next consider the control arc (which must be unique, if it exist) exiting from Node in the CIG, and execute it is execution method (line 8). As a result, a set of next nodes to be executed is returned. Each one of such nodes must be added to the tree (append function), and possibly expanded (expand_down: if Node is composite, then the first nodes (in the case of concurrent actions, there is more then one “first” node to be considered) of the CIG subgraph representing it are appended to treeNode, and so, on, recursively, until atomic nodes are reached, lines 10–12). On the other hand (line 13), if there are no next node (i.e., if the executed node was the last one in a graph or subgraph), then the update_tree algorithm must be recursively applied on the mother of the current node.
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Bottrighi, A., Rubrichi, S., Terenziani, P. (2015). META-GLARE: A Meta-Engine for Executing Computer Interpretable Guidelines. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Knowledge Representation for Health Care. AIME 2015. Lecture Notes in Computer Science(), vol 9485. Springer, Cham. https://doi.org/10.1007/978-3-319-26585-8_3
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DOI: https://doi.org/10.1007/978-3-319-26585-8_3
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