Cargando…
Inaccurate recording of routinely collected data items influences identification of COVID-19 patients
BACKGROUND: During the Coronavirus disease 2019 (COVID-19) pandemic it became apparent that it is difficult to extract standardized Electronic Health Record (EHR) data for secondary purposes like public health decision-making. Accurate recording of, for example, standardized diagnosis codes and test...
Autores principales: | Klappe, Eva S., Cornet, Ronald, Dongelmans, Dave A., de Keizer, Nicolette F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186787/ https://www.ncbi.nlm.nih.gov/pubmed/35767912 http://dx.doi.org/10.1016/j.ijmedinf.2022.104808 |
Ejemplares similares
-
Contextual property detection in Dutch diagnosis descriptions for uncertainty, laterality and temporality
por: Klappe, Eva S., et al.
Publicado: (2021) -
Development and validation of a model for the adoption of structured and standardised data recording among healthcare professionals
por: Joukes, Erik, et al.
Publicado: (2018) -
Endosulfan’s Effects: Inaccurate Data
por: Indulkar, A. S.
Publicado: (2004) -
Forty years of SNOMED: a literature review
por: Cornet, Ronald, et al.
Publicado: (2008) -
Towards an Adoption Framework for Patient Access to Electronic Health Records: Systematic Literature Mapping Study
por: van Mens, Hugo J T, et al.
Publicado: (2020)