Modeling knowledge resource selection in expert librarian search Conference Paper uri icon

Overview

MeSH Major

  • Biomedical Research
  • Clinical Medicine
  • Medical Informatics Applications
  • Medical Informatics Computing
  • Research

abstract

  • Providing knowledge at the point of care offers the possibility for reducing error and improving patient outcomes. However, the vast majority of the physician's information needs are not met in a timely fashion. The research presented in this paper characterizes an expert librarian's search strategies as it pertains to the selection and use of various electronic information resources. The 10 searches conducted by the librarian to address the physician's information needs varied in terms of complexity and question type. The librarian employed a total of 10 resources and used as many as 7 in a single search. The longer term objective is to model the sequential process in sufficient detail as to be able to contribute to the development of intelligent automated search agents.

publication date

  • December 14, 2009

Research

keywords

  • Conference Paper

Identity

Digital Object Identifier (DOI)

  • 10.3233/978-1-58603-979-0-36

Additional Document Info

start page

  • 36

end page

  • 41

volume

  • 143