The role of ontologies and decision frameworks in computer-interpretable guideline execution
Computer-Interpretable Guidelines (CIGs) are machine readable representations of Clinical Practice Guidelines (CPGs) that serve as the knowledge base in many knowledge-based systems oriented towards clinical decision support. Herein we disclose a comprehensive CIG representation model based on Web O...
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| Other Authors: | , , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/1822/50724 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/50724 |
| Summary: | Computer-Interpretable Guidelines (CIGs) are machine readable representations of Clinical Practice Guidelines (CPGs) that serve as the knowledge base in many knowledge-based systems oriented towards clinical decision support. Herein we disclose a comprehensive CIG representation model based on Web Ontology Language (OWL) along with its main components. Additionally, we present results revealing the expressiveness of the model regarding a selected set of CPGs. The CIG model then serves as the basis of an architecture for an execution system that is able to manage incomplete information regarding the state of a patient through Speculative Computation. The architecture allows for the generation of clinical scenarios when there is missing information for clinical parameters. |
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