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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Autori principali: Zhou, Li, Karipineni, Neelima, Lewis, Janet, Maviglia, Saverio M, Fairbanks, Amanda, Hongsermeier, Tonya, Middleton, Blackford, Rocha, Roberto A
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2012
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3554596/
https://ncbi.nlm.nih.gov/pubmed/23145874
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-12-128
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