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Automatic Identification of Critical Follow-Up Recommendation Sentences in Radiology Reports
Communication of follow-up recommendations when abnormalities are identified on imaging studies is prone to error. When recommendations are not systematically identified and promptly communicated to referrers, poor patient outcomes can result. Using information technology can improve communication a...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3243284/ https://ncbi.nlm.nih.gov/pubmed/22195225 |
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