Abstract
Clinical practice guidelines (CPGs) serve to transfer results from evidence-based medicine into clinical practice. There is growing interest in clinical decision support systems (CDSS) implementing the guideline recommendations; research on such systems typically considers combinations of workflow languages with knowledge representation formalisms. Here, we report on experience with an OWL-based proof-of-concept implementation of parts of the German S3 guideline for schizophrenia. From the information-technological point of view, the salient feature of our implementation is that it represents the CPG entirely as a logic-based ontology, without resorting, e.g., to rule-based action formalisms or hard-wired workflows to capture clinical pathways. Our current goal is to establish that such an implementation is feasible; long-range benefits we expect from the approach are modularity of CPG implementation, ease of maintenance, and logical unity.
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Gorín, D., Meyn, M., Naumann, A., Polzer, M., Rabenstein, U., Schröder, L. (2017). Ontological Modelling of a Psychiatric Clinical Practice Guideline. In: Kern-Isberner, G., Fürnkranz, J., Thimm, M. (eds) KI 2017: Advances in Artificial Intelligence. KI 2017. Lecture Notes in Computer Science(), vol 10505. Springer, Cham. https://doi.org/10.1007/978-3-319-67190-1_24
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