TY - JOUR
T1 - Automatic indexing and retrieval of encounter-specific evidence for point-of-care support
AU - O'Sullivan, Dympna M.
AU - Wilk, Szymon A.
AU - Michalowski, Wojtek J.
AU - Farion, Ken J.
N1 - Funding Information:
Role of the funding sources: The support of the Natural Sciences and Engineering Research Council of Canada and the Canadian Institutes of Health Research is gratefully acknowledged. The second author acknowledges the support of the Polish Ministry of Science and Higher Education (Grant No. N519 314435). The sponsors were not involved in the study design, collection, analysis or interpretation of data; in the writing of the manuscript; or in the decision to submit the manuscript for publication.
PY - 2010/8
Y1 - 2010/8
N2 - 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.
AB - 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.
KW - Abstracting and indexing as topic
KW - Automated indexing
KW - Computer-assisted
KW - Decision making
KW - Evidence-based medicine
KW - Information storage and retrieval
KW - Metathesaurus
KW - Point-of-care systems
KW - Unified Medical Language System (UMLS)
UR - http://www.scopus.com/inward/record.url?scp=77954106091&partnerID=8YFLogxK
U2 - 10.1016/j.jbi.2010.03.003
DO - 10.1016/j.jbi.2010.03.003
M3 - Article
C2 - 20230908
AN - SCOPUS:77954106091
SN - 1532-0464
VL - 43
SP - 623
EP - 631
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
IS - 4
ER -