Literature DB >> 8585709

Symbiosis of nurse and machine through fuzzy logic: improved specificity of a neonatal pulse oximeter alarm.

E M Bosque1.   

Abstract

This article describes the theoretical underpinnings that preceded the design of a new neonatal pulse oximeter alarm that differentiates true from false alarms based on an artificial intelligence theory called "fuzzy logic." The connection between the intuition and sense of advocacy gained through neonatal primary nursing and the application of fuzzy logic to solve the problem of false alarms--that is, the symbiosis between nurse and machine--are explained. Emphasis is placed throughout on the importance of involving nurses in the development of the technology for which they are responsible.

Mesh:

Year:  1995        PMID: 8585709     DOI: 10.1097/00012272-199512000-00008

Source DB:  PubMed          Journal:  ANS Adv Nurs Sci        ISSN: 0161-9268            Impact factor:   1.824


  4 in total

1.  Making ICU alarms meaningful: a comparison of traditional vs. trend-based algorithms.

Authors:  R Schoenberg; D Z Sands; C Safran
Journal:  Proc AMIA Symp       Date:  1999

2.  Paediatric clinical decision support systems.

Authors:  P Ramnarayan; J Britto
Journal:  Arch Dis Child       Date:  2002-11       Impact factor: 3.791

3.  Masimo signal extraction pulse oximetry.

Authors:  J M Goldman; M T Petterson; R J Kopotic; S J Barker
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

Review 4.  Computerized decision support in adult and pediatric critical care.

Authors:  Cydni N Williams; Susan L Bratton; Eliotte L Hirshberg
Journal:  World J Crit Care Med       Date:  2013-11-04
  4 in total

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