2020
DOI: 10.1515/dx-2020-0122
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Identifying trigger concepts to screen emergency department visits for diagnostic errors

Abstract: ObjectivesThe diagnostic process is a vital component of safe and effective emergency department (ED) care. There are no standardized methods for identifying or reliably monitoring diagnostic errors in the ED, impeding efforts to enhance diagnostic safety. We sought to identify trigger concepts to screen ED records for diagnostic errors and describe how they can be used as a measurement strategy to identify and reduce preventable diagnostic harm.MethodsWe conducted a literature review and surveyed ED directors… Show more

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Cited by 10 publications
(5 citation statements)
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“…22 25 Even with the current medical record systems, the use of trigger events or some calculated scores to detect a high-risk population for diagnostic errors (eg, a clinical visit followed several days later by an unplanned hospitalisation or subsequent visit to the emergency department, patients with discrepancies in diagnosis between admission and discharge) has been proposed to screen for possible cases of diagnostic errors effectively. [25][26][27][28] However, these triggers may miss some patients with diagnostic errors (low sensitivity). 25 Moreover, manual reviewing of all cases is time-consuming and impractical.…”
Section: Discussionmentioning
confidence: 99%
“…22 25 Even with the current medical record systems, the use of trigger events or some calculated scores to detect a high-risk population for diagnostic errors (eg, a clinical visit followed several days later by an unplanned hospitalisation or subsequent visit to the emergency department, patients with discrepancies in diagnosis between admission and discharge) has been proposed to screen for possible cases of diagnostic errors effectively. [25][26][27][28] However, these triggers may miss some patients with diagnostic errors (low sensitivity). 25 Moreover, manual reviewing of all cases is time-consuming and impractical.…”
Section: Discussionmentioning
confidence: 99%
“…All SQL queries can be modified to match other systems (eg, Cerner) by matching concepts and keywords. Table 1 provides an initial list of 6 EHR-based triggers proposed in IDEA-LL after reviewing the literature on current triggers, surveying medical directors, and using a Delphi consensus process [32].…”
Section: Overviewmentioning
confidence: 99%
“…However, case review is labourious, expensive and difficult to scale. Automated approaches promise to screen and identify potential causes of error, but nevertheless require manual case review after screening 12 13. Case review depends on access to records and resources to perform the review, biasing samples towards hospitals willing to participate 14…”
Section: Introductionmentioning
confidence: 99%