title: Clinical criteria to screen for inpatient diagnostic errors: a scoping review.
abstract: Diagnostic errors are common and costly, but difficult to detect. "Trigger" tools have promise to facilitate detection, but have not been applied specifically for inpatient diagnostic error. We performed a scoping review to collate all individual "trigger" criteria that have been developed or validated that may indicate that an inpatient diagnostic error has occurred. We searched three databases and screened 8568 titles and abstracts to ultimately include 33 articles. We also developed a conceptual framework of diagnostic error outcomes using real clinical scenarios, and used it to categorize the extracted criteria. Of the multiple criteria we found related to inpatient diagnostic error and amenable to automated detection, the most common were death, transfer to a higher level of care, arrest or "code", and prolonged length of hospital stay. Several others, such as abrupt stoppage of multiple medications or change in procedure, may also be useful. Validation for general adverse event detection was done in 15 studies, but only one performed validation for diagnostic error specifically. Automated detection was used in only two studies. These criteria may be useful for developing diagnostic error detection tools.
authors.affiliation: Division of Biomedical Informatics, University of California, San Diego, 9500 Gilman Dr. MC 0728, La Jolla, CA 92093-0728, USA.
authors.forename: Edna C
authors.initials: EC
authors.lastname: Shenvi
authors.affiliation: Divisions of Biomedical Informatics and Hospital Medicine, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
authors.forename: Robert
authors.initials: R
authors.lastname: El-Kareh
keywords: adverse event detection; diagnostic error detection; trigger tools