A study of diverse clinical decision support rule authoring environments and requirements for integration

BACKGROUND: Efficient rule authoring tools are critical to allow clinical Knowledge Engineers (KEs), Software Engineers (SEs), and Subject Matter Experts (SMEs) to convert medical knowledge into machine executable clinical decision support rules. The goal of this analysis was to identify the critica...

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Detalles Bibliográficos
Autores principales: Zhou, Li, Karipineni, Neelima, Lewis, Janet, Maviglia, Saverio M, Fairbanks, Amanda, Hongsermeier, Tonya, Middleton, Blackford, Rocha, Roberto A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554596/
https://www.ncbi.nlm.nih.gov/pubmed/23145874
http://dx.doi.org/10.1186/1472-6947-12-128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554596/
https://www.ncbi.nlm.nih.gov/pubmed/23145874
http://dx.doi.org/10.1186/1472-6947-12-128

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