Matthew L Robinson
Biographic Data
| ID | 5547559 |
|---|---|
| NAME | Matthew L Robinson |
| GIVEN NAMES | Matthew L |
| FAMILY NAME | Robinson |
| SIGNATURE | ROBINSON M L |
| AFFILIATIONS | Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA |
| ORCID | 0000-0003-0376-8560 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Wrangling Real-World Data
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
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…
No prominent works on this page.
Wrangling Real-World Data
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
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 works) · Artificial Intelligence in Healthcare (1 works) · Clinical trial (1 works) · Cohort study (1 works) · Computer Science (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · Coronavirus disease 2019 (COVID-19) (1 works) · COVID-19 and healthcare impacts (1 works) · COVID-19 Clinical Research Studies (1 works) · COVID-19 diagnosis using AI (1 works)