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Projects

EON

Project Description

EON is an extensible architecture for developing decision-support tools for various aspects of protocol-based care. Initially developed to create systems for executing clinical trial protocols for the treatment of cancer and HIV infection1, it has been extended for the management of chronic diseases and of other types of guidelines.


It is now in use in the Athena (Assessment and Treatment of Hypertension: Evidence-Based Automation) Decision Support System.


The architecture of a software system consists of the system’s constituent components and the application programming interfaces that relate them. An EON application may contain several classes of components:


1) a declarative guideline knowledge base that defines all clinical protocols and guidelines in terms of a general computer-interpretable guideline model and

2) problem-solving modules such as the EON Guideline Interpreter that generates patient-specific advisories based on encoded guidelines and protocols


3) the ChronusII temporal mediator that processes complex temporal queries over relational databases

4) client programs that access the services provided by problem-solving modules and by the ChronusII temporal mediator.

Related People

Mark A. Musen, M.D., Ph.D
Professor of Medicine (Biomedical Informatics); Division Head (BMIR); Co-Director, Biomedical Informatics Training Program
Ravi D. Shankar, M.S.
(formerly in BMIR)

Related Publications Only the 5 most recent displayed

View All Publications

BMIR-2010-1401
Formal Representations of Eligibility Criteria: A Literature Review
C. Weng, S. W. Tu, I. Sim, R. Richesson
Journal of American Medical Informatics Association, JAMIA. In Press in 2010
BMIR-2010-1400
Evaluation of the acceptability and usability of a decision support system to encourage safe and effective use of opioid therapy for chronic, non-cancer pain by primary care providers
J. Trafton, S. B. Martins, M. Michel, E. Lewis, D. Wang, A. Combs, N. Scates, S. W. Tu, M. K. Goldstein
Pain Medicine. In Press in 2010
BMIR-2007-1258
Mining Hospital Data to Learn SDA* Clinical Algorithms
D. Riaño, J. A. López-Vallverdú, S. W. Tu
11th Conference on Artificial Intelligence in Medicine, From Knowledge to Global Care Workshop, Amsterdam. Published in 2007
BMIR-2006-1096
Medical Arguments in an Automated Health Care System
R. D. Shankar, S. W. Tu, M. A. Musen
AAAI 2006 Spring Symposia, Stanford University, AAAI Press. Published in 2006
BMIR-2001-0890
Integration of Textual Guideline Documents with Formal Guideline Knowledge Bases
R. D. Shankar, S. W. Tu, S. B. Martins, L. M. Fagan, M. K. Goldstein, M. A. Musen
AMIA 2001. Published in 2001

Stanford School of Medicine