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Usability of computerized nursing process from the ICNP® in intensive care units*

Overview of attention for article published in Revista da Escola de Enfermagem da USP, April 2015
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Title
Usability of computerized nursing process from the ICNP® in intensive care units*
Published in
Revista da Escola de Enfermagem da USP, April 2015
DOI 10.1590/s0080-623420150000200019
Pubmed ID
Authors

Daniela Couto Carvalho Barra, Grace Teresinha Marcon Dal Sasso, Sônia Regina Wagner de Almeida

Abstract

OBJECTIVE To analyze the usability of Computerized Nursing Process (CNP) from the ICNP® 1.0 in Intensive Care Units in accordance with the criteria established by the standards of the International Organization for Standardization and the Brazilian Association of Technical Standards of systems. METHOD This is a before-and-after semi-experimental quantitative study, with a sample of 34 participants (nurses, professors and systems programmers), carried out in three Intensive Care Units. RESULTS The evaluated criteria (use, content and interface) showed that CNP has usability criteria, as it integrates a logical data structure, clinical assessment, diagnostics and nursing interventions. CONCLUSION The CNP is a source of information and knowledge that provide nurses with new ways of learning in intensive care, for it is a place that provides complete, comprehensive, and detailed content, supported by current and relevant data and scientific research information for Nursing practices.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 25%
Student > Bachelor 4 14%
Student > Doctoral Student 2 7%
Professor 2 7%
Researcher 2 7%
Other 5 18%
Unknown 6 21%
Readers by discipline Count As %
Nursing and Health Professions 9 32%
Medicine and Dentistry 4 14%
Computer Science 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 7%
Unknown 9 32%