Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools

Aaron M. Cohen, Clive E. Adams, John M. Davis, Clement Yu, Philip S. Yu, Weiyi Meng, Lorna Duggan, Marian McDonagh, Neil R. Smalheiser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

33 Scopus citations

Abstract

High quality, cost-effective medical care requires consideration of the best available, most appropriate evidence in the care of each patient, a practice known as Evidence-based Medicine (EBM). EBM is dependent upon the wide availability and coverage of accurate, objective syntheses called evidence reports (also called systematic reviews). These are compiled by a time and resource-intensive process that is largely manual, and that has not taken advantage of many of the advances in information processing technologies that have assisted other textual domains. We propose a specific text-mining based pipeline to support the creation and updating of evidence reports that provides support for the literature collection, collation, and triage steps of the systematic review process. The pipeline includes a metasearch engine that covers both bibliographic databases and selected "grey" literature; a module that classifies articles according to study type; a module for grouping studies that are closely related (e.g. that derive from the same underlying clinical trial or same study cohort); and an automated system that ranks publications according to the likelihood that they will meet inclusion criteria for the report. The proposed pipeline will also enable groups performing systematic review to reuse tools and models created by other groups, and will provide a test-bed for further informatics research to develop improved tools in the future. Ultimately, this should increase the rate that high-quality systematic reviews and meta-analyses can be generated, accessed and utilized by clinicians, patients, care-givers, and policymakers, resulting in better and more cost-effective care.

Original languageEnglish (US)
Title of host publicationIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
Pages376-380
Number of pages5
DOIs
StatePublished - 2010
Event1st ACM International Health Informatics Symposium, IHI'10 - Arlington, VA, United States
Duration: Nov 11 2010Nov 12 2010

Publication series

NameIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Other

Other1st ACM International Health Informatics Symposium, IHI'10
CountryUnited States
CityArlington, VA
Period11/11/1011/12/10

Keywords

  • evidence-based medicine
  • information storage and retrieval
  • text-mining

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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  • Cite this

    Cohen, A. M., Adams, C. E., Davis, J. M., Yu, C., Yu, P. S., Meng, W., Duggan, L., McDonagh, M., & Smalheiser, N. R. (2010). Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools. In IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium (pp. 376-380). (IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium). https://doi.org/10.1145/1882992.1883046