Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
País de afiliação
Intervalo de ano de publicação
1.
Br J Anaesth ; 113(3): 491-500, 2014 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-24838806

RESUMO

BACKGROUND: We wanted to demonstrate the feasibility of a novel computer-assisted ventilator alarm system, the support system for care of mechanically ventilated patients (SCMVP), to detect gas leaks and provide graphical information on the site of the leak in a manikin model. METHODS: We tested six leakage scenarios. Four scenarios were applied to both the respiratory circuits with the SCMVP and without the SCMVP (conventional system), and two scenarios were each specific to one of the systems. Fifteen registered nurses were asked to manage three scenarios each (two mutual and one system-specific scenario). Time to identify the site of the leak was measured and compared between the two systems. RESULTS: The SCMVP showed significantly shorter time for troubleshooting in one of the four mutual scenarios and shorter accumulated time for troubleshooting in the four mutual scenarios [18.0 (range, 14.5-19.5) and 48.5 (9.0-180.0) s, respectively] compared with the conventional system [76.0 (47.0-133.8) and 82.5 (16.0-180.0) s, respectively]. In the mutual scenarios, SCMVP resulted in significantly more frequent incidences of successful troubleshooting within 30 s and less frequent incidences of troubleshooting requiring >180 s [43.3% (13/30) and 6.7% (2/30), respectively] compared with the conventional system [13.3% (4/30) and 30% (9/30), respectively]. CONCLUSIONS: The SCMVP can facilitate rapid and successful recognition of the site of leak in a respiratory circuit in a simulation environment.


Assuntos
Alarmes Clínicos , Tomada de Decisões Assistida por Computador , Segurança do Paciente , Respiração Artificial/instrumentação , Respiração Artificial/métodos , Simulação por Computador , Computadores , Apresentação de Dados , Desenho de Equipamento , Falha de Equipamento , Estudos de Viabilidade , Humanos , Manequins , Modelos Organizacionais , Enfermeiras e Enfermeiros , Projetos Piloto , Desenvolvimento de Programas , Avaliação de Programas e Projetos de Saúde , Fatores de Tempo
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA