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META-GLARE: A Meta-System for Defining Your Own CIG System: Architecture and Acquisition

  • Paolo Terenziani
  • Alessio BottrighiEmail author
  • Irene Lovotti
  • Stefania Rubrichi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8903)

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). From one side, there are several commonalities between different approaches; from the other side, each approach has its own peculiarities and is geared towards the treatment of specific phenomena. In our work, we propose a form of generalization: instead of defining “yet another CIG system”, we propose a META-GLARE, a “meta”-system (or, in other words, a shell) to define new CIG systems. From one side, we try to capture the commonalities, by providing (i) a general tool for the acquisition, consultation and execution of hierarchical directed graphs (representing the control flow of actions in CIGs), parameterized over the types of nodes and of arcs constituting it, and (ii) a library of different elementary components of guidelines nodes (actions) and arcs, in which each type definition involves the specification of how objects of this type can be acquired, consulted and executed. From the other side, we provide generality and flexibility, by allowing free aggregations of such elementary components to define new primitive node and arc types. In this paper, we first propose META-GLARE general architecture and then, for the sake of brevity, we will focus only on the acquisition issue.

Keywords

Formalization of medical processes and knowledge-based health-care models Computer interpretable guideline (CIG) Meta CIG system System architecture CIG acquisition 

Notes

Acknowledgements

The research described in this paper has been partially supported by Compagnia San Paolo, within the GINSENG project.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paolo Terenziani
    • 1
  • Alessio Bottrighi
    • 1
    Email author
  • Irene Lovotti
    • 1
  • Stefania Rubrichi
    • 1
    • 2
  1. 1.Computer Science Institute, DISITUniversity of Piemonte OrientaleAlessandriaItaly
  2. 2.Laboratory for Biomedical Informatics “Mario Stefanelli”, Dipartimento di Ingegneria Industriale e dell’InformazioneUniversity of PaviaPaviaItaly

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