Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

BACKGROUND: Although electronic health records (EHRs) have the potential to provide a foundation for quality and safety algorithms, few studies have measured their impact on automated adverse event (AE) and medical error (ME) detection within the neonatal intensive care unit (NICU) environment. OBJE...

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Detalhes bibliográficos
Main Authors: Li, Qi, Melton, Kristin, Lingren, Todd, Kirkendall, Eric S, Hall, Eric, Zhai, Haijun, Ni, Yizhao, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2014
Assuntos:
Focus on Biomedical Natural Language Processing and Data Modeling
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4147599/
https://ncbi.nlm.nih.gov/pubmed/24401171
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001914
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