Automatic indexing and retrieval of encounter-specific evidence for point-of-care support

Dympna M. O'Sullivan, Szymon A. Wilk, Wojtek J. Michalowski, Ken J. Farion

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)623-631
Number of pages9
JournalJournal of Biomedical Informatics
Volume43
Issue number4
DOIs
Publication statusPublished - Aug 2010
Externally publishedYes

Keywords

  • Abstracting and indexing as topic
  • Automated indexing
  • Computer-assisted
  • Decision making
  • Evidence-based medicine
  • Information storage and retrieval
  • Metathesaurus
  • Point-of-care systems
  • Unified Medical Language System (UMLS)

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