Bosque E M
Department of Pediatrics, California Pacific Medical Center, USA.
ANS Adv Nurs Sci. 1995 Dec;18(2):67-75. doi: 10.1097/00012272-199512000-00008.
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.
本文介绍了一种新型新生儿脉搏血氧仪报警器设计之前的理论基础，该报警器基于一种名为“模糊逻辑”的人工智能理论来区分真警报和假警报。文中解释了通过新生儿初级护理获得的直觉和倡导意识与应用模糊逻辑解决假警报问题之间的联系，即护士与机器之间的共生关系。全文重点强调了让护士参与其负责技术开发的重要性。
