Literature DB >> 18999260

Identifying logical clinical context clusters in nursing orders for the purpose of information retrieval.

Sarah Collins1, Suzanne Bakken, James J Cimino, Leanne M Currie.   

Abstract

Nurses information needs relate to nursing orders and nursing orders have many contexts including body systems, safety practices and other clinical categories. When searching for information related to orders one search term might retrieve documents related to multiple orders. We clustered nursing orders into sets that are related by the same logical clinical context. We then generated clusters and their search terms from a data set of 636 orders obtained from a CIS/CPOE system at an academic medical center. We refined those cluster search terms by searching an electronic nursing procedure manual to retrieve resources that could answer one of six generic nursing questions. Sixty-three cluster search terms were identified. The search terms for 100 (16%) of the orders were validated in a second hospitals electronic nursing procedure manual; precision was 32.5%.. Our process of identifying cluster search terms may be a useful method to obtain clinically relevant information resources.

Mesh:

Year:  2008        PMID: 18999260      PMCID: PMC2656054     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  9 in total

1.  Modeling nursing interventions in the act class of HL7 RIM Version 3.

Authors:  Amy Danko; Rosemary Kennedy; Robert Haskell; Ida M Androwich; Patricia Button; Carol M Correia; Susan J Grobe; Marcelline R Harris; Susan Matney; Daniel Russler
Journal:  J Biomed Inform       Date:  2003 Aug-Oct       Impact factor: 6.317

2.  Clinical information needs in context: an observational study of clinicians while using a clinical information system.

Authors:  Leanne M Currie; Mark Graham; Mureen Allen; Suzanne Bakken; Vimla Patel; James J Cimino
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  Use of online resources while using a clinical information system.

Authors:  James J Cimino; Jianhua Li; Mark Graham; Leanne M Currie; Mureen Allen; Suzanne Bakken; Vimla L Patel
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Development of a compositional terminology model for nursing orders.

Authors:  Susan Matney; Catherine Dent; Roberto A Rocha
Journal:  Int J Med Inform       Date:  2004-08       Impact factor: 4.046

5.  Practical considerations for exploiting the World Wide Web to create infobuttons.

Authors:  James J Cimino; Jianhua Li; Mureen Allen; Leanne M Currie; Mark Graham; Viktoria Janetzki; Nam-Ju Lee; Suzanne Bakken; Vimla L Patel
Journal:  Stud Health Technol Inform       Date:  2004

Review 6.  Clinical care costing method for the Clinical Care Classification System.

Authors:  Virginia K Saba; Jean M Arnold
Journal:  Int J Nurs Terminol Classif       Date:  2004 Jul-Sep

7.  Representing critical care data using the clinical care classification.

Authors:  Jacqueline A Moss; Mantana Damrongsak; Kathleen Gallichio
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  A methodology for meeting context-specific information needs related to nursing orders.

Authors:  Sarah Collins; Suzanne Bakken; James J Cimino; Leanne Currie
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

9.  Specificity of computerized physician order entry has a significant effect on the efficiency of workflow for critically ill patients.

Authors:  Naeem A Ali; Hagop S Mekhjian; P Lynn Kuehn; Thomas D Bentley; Rajee Kumar; Amy K Ferketich; Stephen P Hoffmann
Journal:  Crit Care Med       Date:  2005-01       Impact factor: 7.598

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.