Application of openEHR archetypes to automate data quality rules for electronic health records: a case study

BACKGROUND: Ensuring data is of appropriate quality is essential for the secondary use of electronic health records (EHRs) in research and clinical decision support. An effective method of data quality assessment (DQA) is automating data quality rules (DQRs) to replace the time-consuming, labor-inte...

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Detalles Bibliográficos
Autores principales: Tian, Qi, Han, Zhexi, Yu, Ping, An, Jiye, Lu, Xudong, Duan, Huilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019503/
https://www.ncbi.nlm.nih.gov/pubmed/33812388
http://dx.doi.org/10.1186/s12911-021-01481-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019503/
https://www.ncbi.nlm.nih.gov/pubmed/33812388
http://dx.doi.org/10.1186/s12911-021-01481-2

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