Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care
نویسندگان
چکیده
Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA Division of Neonatology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA James M Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
منابع مشابه
Research and applications: 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. OBJECTIVE This paper presents two phenotyping AE and ME detection algorithms (ie, IV infiltrations, ...
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عنوان ژورنال:
دوره 21 شماره
صفحات -
تاریخ انتشار 2014