Ontologies, as formal representations of the domain, capture the meaning of concepts in a domain and the relationships between them. Currently, many fields are harnessing the power of ontologies to enhance computational systems that perform sensitive tasks, to make them exchange information in a more efficient way and convey outputs in a more understandable manner. One of such fields is that of health care, particularly when it comes to Clinical Decision Support Systems. The deployment of Clinical Practice Guidelines in computational systems for clinical decision support has the potential to positively impact health care. However, current approaches to Computer-Interpretable Guidelines evidence a set of issues that leave them wanting. These issues are related with the lack of expressiveness of their underlying models, the complexity of knowledge acquisition with their tools, the absence of support to the clinical decision-making process, and the style of communication of Clinical Decision Support Systems implementing Computer-Interpretable Guidelines. Such issues pose as obstacles that prevent these systems from showing properties like modularity, flexibility, adaptability, and interactivity. All these properties reflect the concept of living guidelines. The CompGuide Framework for the development and deployment of Computer-Interpretable Guidelines addresses these limitations by using ontologies to increase the flexibility, adaptability and intervention of Clinical Decision Support Systems.