Your browser doesn't support javascript.
loading
Variability in Nursing Documentation Patterns across Patients' Hospital Stays.
Lee, Rachel Y; Knaplund, Christopher; Withall, Jennifer; Bokhari, Syed Mohtashim; Cato, Kenrick D; Rossetti, Sarah C.
Afiliação
  • Lee RY; Columbia University, Department of Biomedical Informatics, New York, NY.
  • Knaplund C; Columbia University, Department of Biomedical Informatics, New York, NY.
  • Withall J; Columbia University, School of Nursing, New York, NY.
  • Bokhari SM; Columbia University, Department of Biomedical Informatics, New York, NY.
  • Cato KD; Columbia University, Department of Biomedical Informatics, New York, NY.
  • Rossetti SC; Children's Hospital of Philadelphia, Philadelphia, PA.
AMIA Annu Symp Proc ; 2023: 1037-1046, 2023.
Article em En | MEDLINE | ID: mdl-38222368
ABSTRACT
This study explores the variability in nursing documentation patterns in acute care and ICU settings, focusing on vital signs and note documentation, and examines how these patterns vary across patients' hospital stays, documentation types, and comorbidities. In both acute care and critical care settings, there was significant variability in nursing documentation patterns across hospital stays, by documentation type, and by patients' comorbidities. The results suggest that nurses adapt their documentation practices in response to their patients' fluctuating needs and conditions, highlighting the need to facilitate more individualized care and tailored documentation practices. The implications of these findings can inform decisions on nursing workload management, clinical decision support tools, and EHR optimizations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes / Cuidados Críticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes / Cuidados Críticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article