Literature DB >> 15246043

Development of a compositional terminology model for nursing orders.

Susan Matney1, Catherine Dent, Roberto A Rocha.   

Abstract

AIM: Develop a compositional terminology model for nursing orders that would conform to the existing standard health level seven (HL7) messaging standard for clinical orders. Develop and evaluate the set of attributes needed for a pre-coordinated concept for a single nursing order, using a replicable three-step modeling process.
RESULTS: A terminology model for nursing orders was developed using empirical data. The model was validated against nursing research and standards literature, and evaluated using 609 nursing orders that were successfully mapped to the structure. The representative services came from 20 Intermountain Health Care (IHC) hospitals, demonstrating the generalizability of the model and its attributes across many care settings.

Mesh:

Year:  2004        PMID: 15246043     DOI: 10.1016/j.ijmedinf.2004.04.006

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  4 in total

1.  Bio-Ontology and text: bridging the modeling gap.

Authors:  Carol Friedman; Tara Borlawsky; Lyudmila Shagina; H Rosie Xing; Yves A Lussier
Journal:  Bioinformatics       Date:  2006-07-26       Impact factor: 6.937

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

Authors:  Sarah Collins; Suzanne Bakken; James J Cimino; Leanne M Currie
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

3.  The first step toward data reuse: disambiguating concept representation of the locally developed ICU nursing flowsheets.

Authors:  Hyeoneui Kim; Marcelline R Harris; Guergana K Savova; Christopher G Chute
Journal:  Comput Inform Nurs       Date:  2008 Sep-Oct       Impact factor: 1.985

4.  SANDS: a service-oriented architecture for clinical decision support in a National Health Information Network.

Authors:  Adam Wright; Dean F Sittig
Journal:  J Biomed Inform       Date:  2008-03-14       Impact factor: 6.317

  4 in total

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