title: A methodology for meeting context-specific information needs related to nursing orders.
abstract: Nurse information needs at the point of care exist; however, once provided with access to resources, nurses seek evidence-based answers. The success of answering an information need through an automated Infobutton relies on the program's ability to anticipate a clinician's question. This study's six process methodology aims to meet context-specific information needs related to clinical information system (CIS) nursing orders. Context-specific questions were derived from nurse generic questions generated from nurse focus group data, observational data, and an established taxonomy. The context-specific questions, were filtered by nursing order semantic type within a logical clinical context cluster (LCCC), which is a clinical association identified from the nurse perspective. Nursing orders of the same semantic type are associated with similar types of nurse information needs and are used to assess Internet-based resources for the capability to answer those information needs. LCCCs help identify resources and CIS areas ripe for an Infobutton.
authors.affiliation: Columbia University School of Nursing, New York, NY, USA. sac2125@columbia.edu
authors.forename: Sarah
authors.initials: S
authors.lastname: Collins
authors.forename: Suzanne
authors.initials: S
authors.lastname: Bakken
authors.forename: James J
authors.initials: JJ
authors.lastname: Cimino
authors.forename: Leanne
authors.initials: L
authors.lastname: Currie
mesh_terms: D019992:Databases as Topic; D006751:Hospital Information Systems; D007255:Information Services; D016247:Information Storage and Retrieval; D020407:Internet; D050316:Medical Order Entry Systems; D016347:Medical Records Systems, Computerized; D009736:Nursing Process / Q000458:organization & administration*; D009737:Nursing Records; D009862:Online Systems; D012660:Semantics; D014584:User-Computer Interface