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A trigger tool to detect harm in pediatric inpatient settings.
Assessing Frequency and Risk of Weight Entry Errors in Pediatrics.
Automated adverse event detection collaborative: electronic adverse event identification, classification, and corrective actions across academic pediatric institutions.
Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.
Measuring adverse events and levels of harm in pediatric inpatients with the Global Trigger Tool.
Improving Intensive Care Medication Safety through EHR-basedAlgorithms.
A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center.