title: Modeling knowledge resource selection in expert librarian search.
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.
authors.affiliation: Department of Biomedical Informatics, Columbia University, New York, NY, USA.
authors.forename: David R
authors.initials: DR
authors.lastname: Kaufman
authors.forename: Maryam
authors.initials: M
authors.lastname: Mehryar
authors.forename: Herbert
authors.initials: H
authors.lastname: Chase
authors.forename: Peter
authors.initials: P
authors.lastname: Hung
authors.forename: Marina
authors.initials: M
authors.lastname: Chilov
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Johnson
authors.forename: Eneida
authors.initials: E
authors.lastname: Mendonca
mesh_terms: D016247:Information Storage and Retrieval / Q000379:methods*; D008497:Medical Record Administrators; D017146:Models, Organizational; D019095:Point-of-Care Systems; D014481:United States