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Matthew L Robinson

Datos Biográficos

ID5547559
NOMBREMatthew L Robinson
NOMBRESMatthew L
APELLIDORobinson
FIRMAROBINSON M L
AFILIACIONESDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
ORCID0000-0003-0376-8560
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Wrangling Real-World Data

    Open Access•Kerry A Howard, Wes Anderson et al.•ARTICLE•International Journal of…•2025

    Data-driven approaches to clinical research are necessary for understanding and effectively treating infectious diseases. However, challenges such as issues with data validity, lack of collaboration, and difficult-to-treat infectious diseases (e.g., those that are rare or newly emerging) hinder research. Prioritizing innovative methods to facilitate the continued use of data generated during routine clinical care for research, but in an organized…

  • Hospital-Level Variation in Covid-19 Treatment Among Hospitalized Adults in the United States

    G Caleb Alexander, Brian T Garibaldi et al.•ARTICLE•Medical Care•2025•Referencias: 18

    STUDY DESIGN: Retrospective cohort study. OBJECTIVE: To characterize variation in dexamethasone and remdesivir use over time among hospitals. BACKGROUND: Little is known about hospital-level variation in COVID-19 drug treatments in a large and diverse network in the United States. METHODS: We selected individuals hospitalized with COVID-19 across 163 hospitals between February 23, 2020 and October 31, 2021 from using the HCA CHARGE, an electronic…

Sin obras prominentes en esta página.

  • Wrangling Real-World Data

    Open Access•Kerry A Howard, Wes Anderson et al.•ARTICLE•International Journal of…•2025

    Data-driven approaches to clinical research are necessary for understanding and effectively treating infectious diseases. However, challenges such as issues with data validity, lack of collaboration, and difficult-to-treat infectious diseases (e.g., those that are rare or newly emerging) hinder research. Prioritizing innovative methods to facilitate the continued use of data generated during routine clinical care for research, but in an organized…

  • Hospital-Level Variation in Covid-19 Treatment Among Hospitalized Adults in the United States

    G Caleb Alexander, Brian T Garibaldi et al.•ARTICLE•Medical Care•2025•Referencias: 18

    STUDY DESIGN: Retrospective cohort study. OBJECTIVE: To characterize variation in dexamethasone and remdesivir use over time among hospitals. BACKGROUND: Little is known about hospital-level variation in COVID-19 drug treatments in a large and diverse network in the United States. METHODS: We selected individuals hospitalized with COVID-19 across 163 hospitals between February 23, 2020 and October 31, 2021 from using the HCA CHARGE, an electronic…

Medicine (2 obras) · Artificial Intelligence in Healthcare (1 obras) · Clinical trial (1 obras) · Cohort study (1 obras) · Computer Science (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · Coronavirus disease 2019 (COVID-19) (1 obras) · COVID-19 and healthcare impacts (1 obras) · COVID-19 Clinical Research Studies (1 obras) · COVID-19 diagnosis using AI (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