Title
Automatic indexing and retrieval of encounter-specific evidence for point-of-care support
Abstract
Evidence-based medicine relies on repositories of empirical research evidence that can be used to support clinical decision making for improved patient care. However, retrieving evidence from such repositories at local sites presents many challenges. This paper describes a methodological framework for automatically indexing and retrieving empirical research evidence in the form of the systematic reviews and associated studies from The Cochrane Library, where retrieved documents are specific to a patient-physician encounter and thus can be used to support evidence-based decision making at the point of care. Such an encounter is defined by three pertinent groups of concepts - diagnosis, treatment, and patient, and the framework relies on these three groups to steer indexing and retrieval of reviews and associated studies. An evaluation of the indexing and retrieval components of the proposed framework was performed using documents relevant for the pediatric asthma domain. Precision and recall values for automatic indexing of systematic reviews and associated studies were 0.93 and 0.87, and 0.81 and 0.56, respectively. Moreover, precision and recall for the retrieval of relevant systematic reviews and associated studies were 0.89 and 0.81, and 0.92 and 0.89, respectively. With minor modifications, the proposed methodological framework can be customized for other evidence repositories.
Year
DOI
Venue
2010
10.1016/j.jbi.2010.03.003
Journal of Biomedical Informatics
Keywords
Field
DocType
evidence based medicine,systematic review,point of care,indexation,unified medical language system,empirical research
Data mining,Point of care,Systematic review,Information retrieval,Computer science,Precision and recall,Search engine indexing,Cochrane Library,Automatic indexing,Evidence-based medicine,Empirical research
Journal
Volume
Issue
ISSN
43
4
1532-0464
Citations 
PageRank 
References 
8
0.82
24
Authors
4
Name
Order
Citations
PageRank
Dympna O'Sullivan14511.29
Szymon Wilk246140.94
Wojtek Michalowski326641.48
Ken Farion410612.61