Automated identification of diagnostic labelling errors in medicine.
Diagnostic errors can be identified by measuring concordance of initial and final diagnosis, for instance admission and discharge diagnoses. In this study, researchers developed and tested an automated trigger system to determine concordance between pairs of diagnoses. In comparison to the reference standard (concordance determined by experts) the automated system performance was excellent.