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dc.contributor.authorBlehar, David J.
dc.contributor.authorBarton, Bruce A.
dc.contributor.authorGaspari, Romolo Joseph
dc.date2022-08-11T08:08:17.000
dc.date.accessioned2022-08-23T15:49:32Z
dc.date.available2022-08-23T15:49:32Z
dc.date.issued2015-05-01
dc.date.submitted2018-01-22
dc.identifier.citation<p>Acad Emerg Med. 2015 May;22(5):574-82. doi: 10.1111/acem.12653. Epub 2015 Apr 22. <a href="https://doi.org/10.1111/acem.12653">Link to article on publisher's site</a></p>
dc.identifier.issn1069-6563 (Linking)
dc.identifier.doi10.1111/acem.12653
dc.identifier.pmid25903780
dc.identifier.urihttp://hdl.handle.net/20.500.14038/28456
dc.description.abstractOBJECTIVES: Proficiency in the use of bedside ultrasound (US) has become standard in emergency medicine residency training. While milestones have been established for this training, supporting data for minimum standard experience are lacking. The objective of this study was to characterize US learning curves to identify performance plateaus for both image acquisition and interpretation, as well as compare performance characteristics of learners to those of expert sonographers. METHODS: A retrospective review of an US database was conducted at a single academic institution. Each examination was scored for agreement between the learner and expert reviewer interpretation and given a score for image quality. A locally weighted scatterplot smoothing method was used to generate a model of predicted performance for each individual examination type. Performance characteristics for expert sonographers at the site were also tracked and used in addition to performance plateaus as benchmarks for learning curve analysis. RESULTS: There were 52,408 US examinations performed between May 2007 and January 2013 and included for analysis. Performance plateaus occurred at different points for different US protocols, from 18 examinations for soft tissue image quality to 90 examinations for right upper quadrant image interpretation. For the majority of examination types, a range of 50 to 75 examinations resulted in both excellent interpretation (sensitivity > 84% and specificity > 90%) and good image quality (90% the image quality benchmark of expert sonographers). CONCLUSIONS: Educational performance benchmarks occur at variable points for image interpretation and image quality for different examination types. These data should be considered when developing training standards for US education as well as experience requirements for US credentialing.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=25903780&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1111/acem.12653
dc.subjectEmergency Medicine
dc.subjectMedical Education
dc.titleLearning curves in emergency ultrasound education
dc.typeJournal Article
dc.source.journaltitleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine
dc.source.volume22
dc.source.issue5
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/emed_pp/141
dc.identifier.contextkey11400587
html.description.abstract<p>OBJECTIVES: Proficiency in the use of bedside ultrasound (US) has become standard in emergency medicine residency training. While milestones have been established for this training, supporting data for minimum standard experience are lacking. The objective of this study was to characterize US learning curves to identify performance plateaus for both image acquisition and interpretation, as well as compare performance characteristics of learners to those of expert sonographers.</p> <p>METHODS: A retrospective review of an US database was conducted at a single academic institution. Each examination was scored for agreement between the learner and expert reviewer interpretation and given a score for image quality. A locally weighted scatterplot smoothing method was used to generate a model of predicted performance for each individual examination type. Performance characteristics for expert sonographers at the site were also tracked and used in addition to performance plateaus as benchmarks for learning curve analysis.</p> <p>RESULTS: There were 52,408 US examinations performed between May 2007 and January 2013 and included for analysis. Performance plateaus occurred at different points for different US protocols, from 18 examinations for soft tissue image quality to 90 examinations for right upper quadrant image interpretation. For the majority of examination types, a range of 50 to 75 examinations resulted in both excellent interpretation (sensitivity > 84% and specificity > 90%) and good image quality (90% the image quality benchmark of expert sonographers).</p> <p>CONCLUSIONS: Educational performance benchmarks occur at variable points for image interpretation and image quality for different examination types. These data should be considered when developing training standards for US education as well as experience requirements for US credentialing.</p>
dc.identifier.submissionpathemed_pp/141
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.contributor.departmentDepartment of Emergency Medicine
dc.source.pages574-82


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