SYMBIOSIS OF NURSE AND MACHINE THROUGH FUZZY-LOGIC - IMPROVED SPECIFICITY OF A NEONATAL PULSE OXIMETER ALARM

被引：13

作者：

BOSQUE, EM ^{[1
]}

机构：

[1] UNIV CALIF SAN FRANCISCO, DEPT FAMILY HLTH CARE NURSING, SAN FRANCISCO, CA 94143 USA

来源：

ADVANCES IN NURSING SCIENCE | 1995年 / 18卷 / 02期

关键词：

ARTIFICIAL INTELLIGENCE; INTUITION MOTION ARTIFACT; PRIMARY NURSING; PULSE OXIMETRY;

D O I：

10.1097/00012272-199512000-00008

中图分类号：

R47 [护理学];

学科分类号：

1011 ;

摘要：

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.

引用

页码：67 / 75

页数：9

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