Your browser doesn't support javascript.
loading
Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts.
Chaparro, Juan D; Beus, Jonathan M; Dziorny, Adam C; Hagedorn, Philip A; Hernandez, Sean; Kandaswamy, Swaminathan; Kirkendall, Eric S; McCoy, Allison B; Muthu, Naveen; Orenstein, Evan W.
Afiliación
  • Chaparro JD; Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States.
  • Beus JM; Departments of Pediatrics and Biomedical Informatics, The Ohio State University College of Medicine, Columbus, Ohio, United States.
  • Dziorny AC; Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States.
  • Hagedorn PA; Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
  • Hernandez S; Department of Pediatrics, University of Rochester School of Medicine, Rochester, New York, United States.
  • Kandaswamy S; Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio, United States.
  • Kirkendall ES; Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
  • McCoy AB; Center for Healthcare Innovation, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
  • Muthu N; Department of General Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States.
  • Orenstein EW; Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States.
Appl Clin Inform ; 13(3): 560-568, 2022 05.
Article en En | MEDLINE | ID: mdl-35613913
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Sistemas de Entrada de Órdenes Médicas Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Appl Clin Inform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Sistemas de Entrada de Órdenes Médicas Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Appl Clin Inform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos