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A Prospective Observational Study of EHR-Based Versus Virtual Desktop-Based Access to Pediatric Anesthesia Emergency Algorithms.
Marks, Allyson M; Johnson, Greg; Gidaro, Umberto; Sloberman, Larry; Drake, Francesca M; Weintraub, Ari Y; Nelson, Olivia; Tran, Kha M; Simpao, Allan F.
Afiliação
  • Marks AM; Children's Hospital of Philadelphia.
  • Johnson G; Children's Hospital of Philadelphia.
  • Gidaro U; University of Pennsylvania Perelman School of Medicine.
  • Sloberman L; Children's Hospital of Philadelphia.
  • Drake FM; Children's Hospital of Philadelphia.
  • Weintraub AY; Children's Hospital of Philadelphia.
  • Nelson O; Children's Hospital of Philadelphia.
  • Tran KM; University of Pennsylvania Perelman School of Medicine.
  • Simpao AF; Children's Hospital of Philadelphia.
Stud Health Technol Inform ; 315: 556-558, 2024 Jul 24.
Article em En | MEDLINE | ID: mdl-39049320
ABSTRACT
When pediatric anesthesia emergencies occur, situations can deteriorate rapidly. At our hospital, the Society for Pediatric Anesthesia's (SPA) emergency algorithms are used as cognitive aids during crises, and nurses are tasked with accessing the algorithms. Operating room nurses' typical workflow includes continuous display of the of the electronic health record (EHR) intraoperative navigator, which can delay navigating to the virtual desktop window and the algorithms' icon. Thus, we implemented a button in the intraoperative navigator's toolbar to access the algorithms with one click. We conducted an observational study of the time required to access and display overhead an algorithm using the new button and old method. We surveyed participants on usability.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Registros Eletrônicos de Saúde Limite: Child / Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Registros Eletrônicos de Saúde Limite: Child / Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article