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Andrea Gilmore-Bykovskyi

Datos Biográficos

ID5544737
NOMBREAndrea Gilmore-Bykovskyi
NOMBRESAndrea
APELLIDOGilmore-Bykovskyi
FIRMAGILMORE-BYKOVSKYI A
AFILIACIONESDepartment of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2016
AÑO MÁS RECIENTE DE PUBLICACIÓN2016
ÍNDICE H0
  • Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction

    Brock Polnaszek, Andrea Gilmore-Bykovskyi et al.•ARTICLE•Medical Care•2016•Referencias: 27

    BACKGROUND: Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. OBJECT…

Sin obras prominentes en esta página.

  • Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction

    Brock Polnaszek, Andrea Gilmore-Bykovskyi et al.•ARTICLE•Medical Care•2016•Referencias: 27

    BACKGROUND: Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. OBJECT…

Abstraction (1 obras) · Adaptation (eye) (1 obras) · Big data (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Documentation (1 obras) · Electronic Health Records Systems (1 obras) · Hospital Admissions and Outcomes (1 obras) · Machine Learning in Healthcare (1 obras) · Medical record (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae