2017
DOI: 10.1111/acem.13067
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Safety of Computer Interpretation of Normal Triage Electrocardiograms

Abstract: ObjectivesFrequent interruptions within the emergency department may lead to errors that negatively impact patient care. The immediate review of electrocardiograms (ECGs) obtained from triage patients is one source of interruption. Limiting triage ECGs requiring immediate attending review to those interpreted by the computer as abnormal may be one way to reduce interruption. We hypothesize that triage ECGs interpreted by the computer as “normal ECG” are unlikely to have clinical significance that would affect … Show more

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Cited by 23 publications
(18 citation statements)
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“…Of note, our study did highlight the danger in relying on software interpretation of "normal ECG" to decant patients and ECGs for less-urgent assessment: We found that 12SL missed 59 patients with STEMI. This is in contrast to the conclusions of Hughes et al, 20 who assessed the negative predictive value of 12SL in 855 triage ECGs. They estimated a negative predictive value of 99%.…”
Section: Discussioncontrasting
confidence: 90%
“…Of note, our study did highlight the danger in relying on software interpretation of "normal ECG" to decant patients and ECGs for less-urgent assessment: We found that 12SL missed 59 patients with STEMI. This is in contrast to the conclusions of Hughes et al, 20 who assessed the negative predictive value of 12SL in 855 triage ECGs. They estimated a negative predictive value of 99%.…”
Section: Discussioncontrasting
confidence: 90%
“…Of nine initial ECGs labeled completely ''normal'' by the automated interpretation, three met rules for subtle occlusion by blinded interpretation. Contrary to one study suggesting that ECGs labeled ''normal'' are unlikely to have clinical significance, our findings reinforce the need for emergency physicians to interpret all ECGs regardless of automated interpretation (47). They also echo the call for computers to label ECGs as ''no abnormalities detected'' rather than ''normal,'' to minimize provider cognitive bias, and may point to a need for artificial intelligence-enabled ECG algorithms to improve automated interpretation (48).…”
Section: Limits Of Automated Interpretation and Classic Stemi Criteriasupporting
confidence: 62%
“…Studies on the competence of general practitioners (GPs) have shown varying results [8, 13–16]. Competence is demanded since the quality of computer interpretation of ECGs is insufficient [1720]. Besides, although Dutch primary care guidelines advocate the use of ECGs in specific situations (www.nhg.org/nhg-standaarden), clear guidelines on the use of ECGs in primary care settings are not available [2123].…”
Section: Introductionmentioning
confidence: 99%