title: Automated detection of adverse events in children.
abstract: Voluntary reporting has been the standard method for identifying adverse events in hospitals, yet its effectiveness at identifying a comprehensive array of adverse events has always been in question. The electronic health record (EHR) contains clinical data that can be systematically reviewed to identify adverse events and improve adverse event detection. Active use of an automated trigger tool that is embedded in an EHR can identify systematic issues with delivery of high-risk medications and is cost-effective and efficient. Further development of an automated adverse event detection protocol for pediatrics is needed to apply this approach systematically across pediatric institutions.
authors.affiliation: Center for Pediatric Informatics, Children's National Medical Center, Washington, DC 20010, USA.
authors.forename: Valere
authors.initials: V
authors.lastname: Lemon
authors.forename: David C
authors.initials: DC
authors.lastname: Stockwell
mesh_terms: D002648:Child; D064420:Drug-Related Side Effects and Adverse Reactions / Q000175:diagnosis*; D057286:Electronic Health Records; D006801:Humans; D019300:Medical Errors; D061214:Patient Safety; D011787:Quality of Health Care; D017751:Safety Management / Q000379:methods