GLIF3 - Computer Interpretable Guideline (CIG) Language

During 1999-2003, While at Stanford, I was part of the InterMed Collaboratory (Stanford, Harvard, Columbia) which developed the GLIF3 computer-interpretable guideline (CIG) modeling language, and enactment engine. I implemented a diabetic foot guideline using GLIF3 at RAMBAM hospital.

Personalized DSS

During 2011-2015 I led a large European project with 60 participants from 13 organizations (Acedemia, industry, hopsitals) in 5 European countries. We developed a personalized and distributed decision-support system with mobile sensors for patients and their care providers. Mobiguide improved health care for atrial fibrillation and gestational diabetes patients.


In this ISF project (2016-9) we are developing a framework for combining Computer-interpretable guidelines with OWL medical ontologies to plan therapy for patients with multimorbidity. See our AMIA paper.

App applies behavioral economics to health

2018-2022 Read about our new project in the Press

Ontology-guided mining for prognosis

Children with developmental disorders often have multiple diagnoses, which progress over time. Aided by a literature-based ontology, we used Self-Organizing Maps to detect clusters of children with particular multiple diagnoses and then applied Sequence Mining to find their progression.

Patient-centric Data Science

Our group's mission is to use data science methods in order to improve people's health by developing methodologies and tools that provide decision-support to patients and their care providers. To do so, we combine methods for knowledge representation and reasoning, data management, and statistical inference and reasoning and apply it to large longitudinal multidimensional health data sets that are continuously updated. more