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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Li, Qi, Melton, Kristin, Lingren, Todd, Kirkendall, Eric S, Hall, Eric, Zhai, Haijun, Ni, Yizhao, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMJ Publishing Group 2014
Schlagworte:
Focus on Biomedical Natural Language Processing and Data Modeling
Online Zugang: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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge