Cargando…
Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data
OBJECTIVES: Missing data is the most common data quality issue in electronic health records (EHRs). Missing data checks implemented in common analytical software are typically limited to counting the number of missing values in individual fields, but researchers and organisations also need to unders...
Autores principales: | Ruddle, Roy A, Adnan, Muhammad, Hall, Marlous |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680176/ https://www.ncbi.nlm.nih.gov/pubmed/36410820 http://dx.doi.org/10.1136/bmjopen-2022-064887 |
Ejemplares similares
-
Hospital episode statistics: improving the quality and value of hospital data: a national internet e-survey of hospital consultants
por: Spencer, Stephen Andrew, et al.
Publicado: (2012) -
Quantification and visualisation methods of data-driven chronic care delivery pathways: protocol for a systematic review and content analysis
por: Siqueira do Prado, Luiza, et al.
Publicado: (2020) -
Linkage of maternity hospital episode statistics birth records to birth registration and notification records for births in England 2005–2006: quality assurance of linkage
por: Coathup, Victoria, et al.
Publicado: (2020) -
Modelling NHS England 111 demand for primary care services: a discrete event simulation
por: Pilbery, Richard, et al.
Publicado: (2023) -
The impact of electronic prescribing systems on pharmacists’ time and workflow: protocol for a time-and-motion study in English NHS hospitals
por: Schofield, Behnaz, et al.
Publicado: (2015)