Enabling Semantic Health Apps: The MEDgle Clinical Decision Support Service Api
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Abstract
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.
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.
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