Integrating a modern knowledge-based system architecture with a legacy VA database: the ATHENA and EON projects at Stanford.
We present a methodology and database mediator tool for integrating modern knowledge-based systems, such as the Stanford EON architecture for automated guideline-based decision-support, with legacy databases, such as the Veterans Health Information Systems & Technology Architecture (VISTA) systems, which are used nation-wide. Specifically, we discuss designs for database integration in ATHENA, a system for hypertension care based on EON, at the VA Palo Alto Health Care System. We describe a new database mediator that affords the EON system both physical and logical data independence from the legacy VA database. We found that to achieve our design goals, the mediator requires two separate mapping levels and must itself involve a knowledge-based component.
Advani
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A
Stanford Medical Informatics, Stanford University, CA 94305-5479, USA.
Tu
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O'Connor
M
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Coleman
R
R
Goldstein
M K
MK
Musen
M
M
D001185:Artificial Intelligence; D002140:California; D003628:Database Management Systems; D019992:Databases as Topic / Q000458:organization & administration; D003658:Decision Making, Computer-Assisted; D006787:Hospitals, Veterans; D006801:Humans; D006973:Hypertension / Q000175:diagnosis / Q000628:therapy; D017410:Practice Guidelines as Topic; D012660:Semantics; D018511:Systems Integration