A multiple-ontology customizable search interface for retrieval of clinical guidelines.
A major problem in the effective use of clinical guidelines is fast and accurate access at the point of care. Thus, we are developing a digital electronic guideline library (DeGeL) and a set of tools for incremental conversion of free-text guidelines into increasingly machine-comprehensible representations, which support automated application. Even if guidelines are represented in electronic fashion, care providers need to be able to quickly retrieve the guidelines that best fit the clinical situation at hand. We describe Vaidurya, a search and retrieval engine that exploits the hybrid nature of guideline representation in the DeGeL architecture. Vaidurya can use not only free-text keywords, but also multiple semantic indices along which the guidelines are classified, and the mark up of guidelines in DeGeL, using the semantic roles of one or more guideline-representation languages (ontologies). Vaidurya offers a wide variety of querying options, in order to enable different types of users to query the guideline library in a manner that is both efficient and user friendly. We describe the customizable query interface, in which each user can create their own personal query interface.
Moskovitch
Robert
R
Medical Informatics Research Center, Department of Information Systems Engineering, Ben Gurion University, Beer Sheva 84105, Israel. robertmo@bgumail.bgu.ac.il
Shahar
Yuval
Y
D005103:Expert Systems; D006801:Humans; D016247:Information Storage and Retrieval; D017410:Practice Guidelines as Topic; D011381:Programming Languages; D012660:Semantics