Implementation of a scalable, web-based, automated clinical decision support risk-prediction tool for chronic kidney disease using C-CDA and application programming interfaces

BACKGROUND AND OBJECTIVE: Clinical decision support tools for risk prediction are readily available, but typically require workflow interruptions and manual data entry so are rarely used. Due to new data interoperability standards for electronic health records (EHRs), other options are available. As...

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Detalles Bibliográficos
Autores principales: Samal, Lipika, D’Amore, John D, Bates, David W, Wright, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580936/
https://www.ncbi.nlm.nih.gov/pubmed/29016969
http://dx.doi.org/10.1093/jamia/ocx065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580936/
https://www.ncbi.nlm.nih.gov/pubmed/29016969
http://dx.doi.org/10.1093/jamia/ocx065

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