Literature DB >> 15537138

Applications of ecological interface design in supporting the nursing process.

Kathryn Momtahan1, Catherine Burns.   

Abstract

Today's nursing environment is complex, with many sources of data that are often poorly displayed. Ecological interface design (EID) is a systematic approach to designing interfaces to complex systems. EID has been used to design interfaces for aviation displays, power plant monitoring and control, human hemodynamic monitoring, anesthesia monitoring, and neonatal intensive care monitoring and diagnosis. EID makes critical relationships easily visible, eliminating the mental workload of integrating, calculating, or remembering multiple values. This paper reviews past experimental studies of EID in healthcare applications and discusses the application of EID to a decision-support tool for diabetic patients using personal digital assistants. The authors also discuss other contributions that EID could make to the nursing process in the areas of physiological monitoring, decision support, database design, and the measurement and analysis of nurse-sensitive outcomes, including patient safety outcomes.

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Year:  2004        PMID: 15537138

Source DB:  PubMed          Journal:  J Healthc Inf Manag        ISSN: 1099-811X


  3 in total

1.  A cognitive engineering framework for the specification of information requirements in medical imaging: application in image-guided neurosurgery.

Authors:  T Morineau; X Morandi; N Le Moëllic; P Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-07-13       Impact factor: 2.924

2.  Modeling Patient Treatment With Medical Records: An Abstraction Hierarchy to Understand User Competencies and Needs.

Authors:  Justin D St-Maurice; Catherine M Burns
Journal:  JMIR Hum Factors       Date:  2017-07-28

3.  Using team cognitive work analysis to reveal healthcare team interactions in a birthing unit.

Authors:  Maryam Ashoori; Catherine M Burns; Barbara d'Entremont; Kathryn Momtahan
Journal:  Ergonomics       Date:  2014-05-19       Impact factor: 2.778

  3 in total

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