Symbiosis of nurse and machine through fuzzy logic: improved specificity of a neonatal pulse oximeter alarm.
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.
Bosque
E M
EM
Department of Pediatrics, California Pacific Medical Center, USA.
D003657:Decision Making; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004868:Equipment Failure; D017143:Fuzzy Logic; D006801:Humans; D007231:Infant, Newborn; D015931:Intensive Care, Neonatal / Q000379:methods*; D017283:Neonatal Nursing; D009730:Nursing Assessment / Q000379:methods*; D010092:Oximetry / Q000295:instrumentation*