Cargando…
A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda
Data sharing has enormous potential to accelerate and improve the accuracy of research, strengthen collaborations, and restore trust in the clinical research enterprise. Nevertheless, there remains reluctancy to openly share raw data sets, in part due to concerns regarding research participant confi...
Autores principales: | Mawji, Alishah, Longstaff, Holly, Trawin, Jessica, Dunsmuir, Dustin, Komugisha, Clare, Novakowski, Stefanie K., Wiens, Matthew O., Akech, Samuel, Tagoola, Abner, Kissoon, Niranjan, Ansermino, J. Mark |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931294/ https://www.ncbi.nlm.nih.gov/pubmed/36812586 http://dx.doi.org/10.1371/journal.pdig.0000027 |
Ejemplares similares
-
Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries
por: Mawji, Alishah, et al.
Publicado: (2022) -
Repeatability of Pulse Oximetry Measurements in Children During Triage in 2 Ugandan Hospitals
por: Asdo, Ahmad, et al.
Publicado: (2023) -
Smart triage: triage and management of sepsis in children using the point-of-care Pediatric Rapid Sepsis Trigger (PRST) tool
por: Mawji, Alishah, et al.
Publicado: (2020) -
Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya
por: Mawji, Alishah, et al.
Publicado: (2021) -
Common data elements for predictors of pediatric sepsis: A framework to standardize data collection
por: Mawji, Alishah, et al.
Publicado: (2021)