title: Information needs of clinical teams: analysis of questions received by the Clinical Informatics Consult Service.
abstract: OBJECTIVE
  To examine the types of questions received by Clinical Informatics Consult Service (CICS) librarians from clinicians on rounds and to analyze the number of clearly differentiated viewpoints provided in response.
  
  
  METHODS
  Questions were retrieved from an internal database, the CICS Knowledge Base, and analyzed for redundancy by subject analysis. The unique questions were classified into ten categories by subject. Treatment-related questions were analyzed for the number of viewpoints represented in the librarian's response.
  
  
  RESULTS
  The CICS Knowledge Base contained 476 unique questions and 71 redundant questions. Among the unique queries, the top two categories accounted for 67%: treatment (36%) and disease description (31%). Within the treatment-related subset, 138 questions (59%) required representation of more than one viewpoint in the librarian's response.
  
  
  CONCLUSIONS
  Questions generated by clinicians frequently require comprehensive, critical appraisal of the medical literature, a need that can be filled by librarians trained in such techniques. This study demonstrates that many questions require representation of more than one viewpoint to answer completely. Moreover, the redundancy rate underscores the need for resources like the CICS Knowledge Base. By critically analyzing the medical literature, CICS librarians are providing a time-saving and valuable service for clinicians and charting new territory for librarians.
authors.affiliation: Annette and Irwin Eskind Biomedical Library, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.
authors.forename: R N
authors.initials: RN
authors.lastname: Jerome
authors.forename: N B
authors.initials: NB
authors.lastname: Giuse
authors.forename: K W
authors.initials: KW
authors.lastname: Gish
authors.forename: N A
authors.initials: NA
authors.lastname: Sathe
authors.forename: M S
authors.initials: MS
authors.lastname: Dietrich
mesh_terms: D001185:Artificial Intelligence; D016247:Information Storage and Retrieval / Q000706:statistics & numerical data*; D007993:Libraries, Medical / Q000706:statistics & numerical data*; D007999:Library Services / Q000706:statistics & numerical data*; D020380:Needs Assessment / Q000706:statistics & numerical data*; D016730:Program Development; D012017:Referral and Consultation / Q000706:statistics & numerical data; D013714:Tennessee