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응급센터 CT 및 MRI 영상 판독 모니터링 시스템의 임상적 유용성: 미인지 소견의 분석The clinical usefulness of radiologic report monitoring system of CT and MRI in emergency department: analysis of missed and incidental findings

Other Titles
The clinical usefulness of radiologic report monitoring system of CT and MRI in emergency department: analysis of missed and incidental findings
Authors
이지훈서준석이승철이정훈도한호이상헌김용원김재승
Issue Date
Aug-2020
Publisher
대한응급의학회
Keywords
Emergency departments; Incidental findings; Reports; Radiology information systems
Citation
대한응급의학회지, v.31, no.4, pp 391 - 400
Pages
10
Indexed
KCI
Journal Title
대한응급의학회지
Volume
31
Number
4
Start Page
391
End Page
400
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/6300
ISSN
1226-4334
Abstract
Objective: This study was undertaken to establish a radiologic report monitoring system (RRMS) for missed and incidental findings (MIFs) in computed tomography (CT) and magnetic resonance imaging (MRI) reports, to help determine the clinical significance of MIFs in the emergency department (ED). Methods: Patients presenting to our ED in 2017 were subjected to RRMS. Preliminary reports and final reports were subsequently compared based on the clinical significance of the MIFs. If required, the patient was contacted and instructed to revisit the ED. Results: Totally, 12,132 CT and MRI exams were performed during the study period, and 321 cases (2.6%) encompassed MIFs. We attempted to contact 228 cases (1.9%) who had clinically significant MIF findings; 9 patients were instructed to return to the ED, whereas 105 cases were instructed to report to the outpatient department. Hospitalization was required for 12 patients: 2 cases required surgical intervention, 2 cases had an additional procedure, and 8 cases required medical hospitalization. Conclusion: This study applied RRMS for a timely assessment of MIFs, determine rearrangements required, and present an active response to the MIFs determined in the ED. To improve patient care and safety, we hereby propose monitoring MIFs using the RRMS or similar methods.
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