Document Detail


Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.
MedLine Citation:
PMID:  22270786     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Current speech recognition software allows exam-specific standard reports to be prepopulated into the dictation field based on the radiology information system procedure code. While it is thought that prepopulating reports can decrease the time required to dictate a study and the overall number of errors in the final report, this hypothesis has not been studied in a clinical setting. A prospective study was performed. During the first week, radiologists dictated all studies using prepopulated standard reports. During the second week, all studies were dictated after prepopulated reports had been disabled. Final radiology reports were evaluated for 11 different types of errors. Each error within a report was classified individually. The median time required to dictate an exam was compared between the 2 weeks. There were 12,387 reports dictated during the study, of which, 1,173 randomly distributed reports were analyzed for errors. There was no difference in the number of errors per report between the 2 weeks; however, radiologists overwhelmingly preferred using a standard report both weeks. Grammatical errors were by far the most common error type, followed by missense errors and errors of omission. There was no significant difference in the median dictation time when comparing studies performed each week. The use of prepopulated reports does not alone affect the error rate or dictation time of radiology reports. While it is a useful feature for radiologists, it must be coupled with other strategies in order to decrease errors.
Authors:
C M Hawkins; S Hall; J Hardin; S Salisbury; A J Towbin
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of digital imaging     Volume:  25     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-07-04     Completed Date:  2012-12-18     Revised Date:  2013-08-15    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  504-11     Citation Subset:  IM    
Affiliation:
Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, ML 5031, Cincinnati, OH 45229, USA.
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MeSH Terms
Descriptor/Qualifier:
Humans
Medical Records
Medical Records Systems, Computerized / standards*
Prospective Studies
Radiology Information Systems / standards*
Reproducibility of Results
Speech Recognition Software / standards*
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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