TY - JOUR
T1 - Vaidurya-A concept-based, context-sensitive search engine for clinical guidelines
AU - Moskovitch, Robert
AU - Hessing, Alon
AU - Shahar, Yval
N1 - Funding Information:
This research is supported partly by the NIH/NLM award LM-06806. We thank our colleagues at Standford University Drs. Mary Goldstein, Susana Martins, and Soroka Hospital,Prof Eitan Lunenfeld, were extremely helpful in assessing and developing Vaidurya.. we would like to thank also to all the students who made their senior projects at the Vaidurya research at the Department of Information Systems and all the physicians and users that gave their important comments.
PY - 2004/1/1
Y1 - 2004/1/1
N2 - 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 De-. GeL 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. Preliminary evaluation of Vaidurya in a standard information task and a large guideline repository is encouraging; formal evaluation is under way.
AB - 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 De-. GeL 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. Preliminary evaluation of Vaidurya in a standard information task and a large guideline repository is encouraging; formal evaluation is under way.
KW - Information Retrieval
KW - clinical practice guidelines
KW - context-sensitive search
UR - http://www.scopus.com/inward/record.url?scp=84887039532&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-949-3-140
DO - 10.3233/978-1-60750-949-3-140
M3 - Article
AN - SCOPUS:84887039532
SN - 0926-9630
VL - 107
SP - 140
EP - 144
JO - Studies in Health Technology and Informatics
JF - Studies in Health Technology and Informatics
ER -