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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Hlavní autoři: Li, Qi, Melton, Kristin, Lingren, Todd, Kirkendall, Eric S, Hall, Eric, Zhai, Haijun, Ni, Yizhao, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Médium: Artigo
Jazyk:Inglês
Vydáno: BMJ Publishing Group 2014
Témata:
Focus on Biomedical Natural Language Processing and Data Modeling
On-line přístup: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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