Demonstration of DeGeL: A Clinical-Guidelines Library and Automated Guideline-Support Tools

Using machine-interpretable clinical guidelines to support evidence- based medicine promotes the quality of medical care. In this demonstration, we present the Digital Electronic Guidelines Library (DeGeL), a comprehensive framework, including a Web-based guideline repository and a suite of tools, to support the use of automated guidelines for medical care, research, and quality assessment. Recently, we have developed a new version (DeGeL.NET) of the digital library and of its different tools. We intend to focus in our demonstration on DeGeL's major tools, in particular for guideline specification in Web-based and standalone fashion (Uruz and Gesher), search and retrieval (Vaidurya and DegeLook) and runtime application (Spock), and to explain how they are combined within the typical lifecycle of a clinical guideline.