Semantic Web (Web 3.0) evaluates informational relationships to understand user queries. In a medical context, patients can browse for symptoms, diagnostic tests, procedures, or drugs to understand their medical options and risk for disease. This is MEDgle; a series of semantic algorithms with over fifty million medical-concept relationships aimed at increasing access to quality medical information in eight languages.

On January 14th, 2009, MEDgle released its clinical decision support service application-programming interface (API). With applications in m-health, personal health records, electronic medical records, patient empowerment, education, and public e-health, it allows programmers and users to leverage semantic health apps for an almost unlimited number of purposes. This presentation will host a series of applications for the MEDgle semantic decision support API, including:

1. Healthiermee – a facebook compatible health social application that helps users understand the relationship between activity levels and risk for chronic disease;
2. eNurse Kim – a bot nurse that helps patients through a process where they can understand their medical options;
3. HelloHealth EMR – the Myca electronic medical record, featuring decision support that compliments physician’s medical knowledge though an interactive, participatory patient dialog;
4. Public eHealth Triage – a demo of a call centre implementation of clinician mediated patient decision support;
5. Futuristic implementations – A demonstration by the New Media Medicine Department of the MIT Media Lab will reveal the teaching and research applications of our semantic algorithms.