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A methodology for meeting context-specific information needs related to nursing orders
Sarah Collins1, Suzanne Bakken, James J Cimino
1Columbia University School of Nursing, New York, NY, USA. sac2125@columbia.edu
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.
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