Addressing the search challenges of precision medicine with information retrieval systems and physician readers

Kate Fultz Hollis, Kirk Roberts, Steven Bedrick, William R. Hersh

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

2 Scopus citations


The Text REtrieval Conference (TREC), co-sponsored by the National Institute of Standards and Technology (NIST) in the US and US Department of Defense, was started in 1992. TREC's purpose is to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. In 2017, the TREC Precision Medicine (Roberts et al., 2017) track grew from the Clinical Decision Support track and focused on a narrower problem domain of precision oncology. After three years of computer runs being evaluated for relevance by physician readers, we provide a unique perspective of how to evaluate computer-generated articles and clinical trials pulled from PubMed and to find relevant information on medical cases.

Original languageEnglish (US)
Title of host publicationDigital Personalized Health and Medicine - Proceedings of MIE 2020
EditorsLouise B. Pape-Haugaard, Christian Lovis, Inge Cort Madsen, Patrick Weber, Per Hostrup Nielsen, Philip Scott
PublisherIOS Press
Number of pages5
ISBN (Electronic)9781643680828
StatePublished - Jun 16 2020
Event30th Medical Informatics Europe Conference, MIE 2020 - Geneva, Switzerland
Duration: Apr 28 2020May 1 2020

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Conference30th Medical Informatics Europe Conference, MIE 2020


  • Information retrieval
  • Precision medicine

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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