Literature DB >> 6691567

Detection of anesthesia machine faults.

C W Buffington, S Ramanathan, H Turndorf.   

Abstract

One hundred ninety people attending an anesthesia meeting were given ten minutes to identify five faults intentionally created in a standard anesthesia machine. 7.3% of participants found no machine faults and 3.4% found all five faults. The average number of identified faults was 2.2. Professional background did not influence the scores, but fault detection ability was increased in practitioners with ten years or more of experience. Concealed faults that did not make the machine inoperable were most frequently missed. Greater emphasis should be placed on aggressive system checking in education programs and in daily clinical practice.

Entities:  

Mesh:

Year:  1984        PMID: 6691567

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  2 in total

1.  Pre-use anesthesia machine check; certified anesthesia technician based quality improvement audit.

Authors:  Mazen Al Suhaibani; Assaf Al Malki; Saad Al Dosary; Hanan Al Barmawi; Mahdhav Pogoku
Journal:  Anesth Essays Res       Date:  2014 Sep-Dec

Review 2.  The basic anaesthesia machine.

Authors:  Cl Gurudatt
Journal:  Indian J Anaesth       Date:  2013-09
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.