Abstract
In the last years, many parties have been engaged in developing models for encoding clinical practice guidelines in a computer-interpretable form. Despite the attempts involved to specify and adopt a single, common model, to date, there is no de facto standard solution. Moreover, the effort in defining new models has not been coupled by a parallel effort in supporting a seamless integration with the clinical workflow and existing health information systems. In such a direction, this paper proposes a standards-based verifiable guideline model, named GLM-CDS (GuideLine Model for Clinical Decision Support), whose main features can be summarized in the following points: i) its control-flow model is a formal Task-Network Model devised to represent guidelines on multiple levels of abstraction by focusing only on issues pertaining the clinical decision support; ii) its information model is expressly built on the top of the simplified patient information model standardized as HL7 Virtual Medical Record for Clinical Decision Support; iii) its terminological model is essentially constructed on the top of standard medical terminologies; iv) its computer-interpretable encoding is built in terms of both a formal, semantically well-defined and verifiable ontology for describing control-flow and information models, and a logical rule formalism for specifying decision criteria.
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Iannaccone, M., Esposito, M., De Pietro, G. (2013). GLM-CDS: A Standards-Based Verifiable Guideline Model for Decision Support in Clinical Applications. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Process Support and Knowledge Representation in Health Care. ProHealth KR4HC 2013 2013. Lecture Notes in Computer Science(), vol 8268. Springer, Cham. https://doi.org/10.1007/978-3-319-03916-9_11
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