Cargando…
An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study
BACKGROUND: Accurately identifying cases of chronic kidney disease (CKD) from primary care data facilitates the management of patients, and is vital for surveillance and research purposes. Ontologies provide a systematic and transparent basis for clinical case definition and can be used to identify...
Autores principales: | Cole, Nicholas I., Liyanage, Harshana, Suckling, Rebecca J., Swift, Pauline A., Gallagher, Hugh, Byford, Rachel, Williams, John, Kumar, Shankar, de Lusignan, Simon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5894169/ https://www.ncbi.nlm.nih.gov/pubmed/29636024 http://dx.doi.org/10.1186/s12882-018-0882-9 |
Ejemplares similares
-
Ontology to identify pregnant women in electronic health records: primary care sentinel network database study
por: Liyanage, Harshana, et al.
Publicado: (2019) -
Step-Wise Management of Anemia in Patients With Chronic Kidney
Disease in Primary Care: Qualitative Study
por: Delanerolle, Gayathri, et al.
Publicado: (2023) -
COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology
por: de Lusignan, Simon, et al.
Publicado: (2020) -
Using an Ontology to Facilitate More Accurate Coding of Social Prescriptions Addressing Social Determinants of Health: Feasibility Study
por: Jani, Anant, et al.
Publicado: (2020) -
Integrating molecular point-of-care testing for influenza into primary care: a mixed-methods feasibility study
por: de Lusignan, Simon, et al.
Publicado: (2020)