Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call.
Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools to facilitate the identification and monitoring of...
| Publicado en: | Journal of Digital Imaging Vol. 24; no. 5; pp. 897 - 908 |
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| Autores principales: | , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104691165&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104691165 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Oct2011 vid: 24 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104691165 65832721 10.1007/s10278-011-9360-7 NLM21249419 104691165 ppf: 897 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call. aug: au: Itri, Jason Kim, Woojin Scanlon, Mary affil: Hospital of the University of Pennsylvania, 3400 Spruce Street Philadelphia 19104 USA sug: subj: Interns and Residents Software Design Professional Competence Radiologists Radiology Information Systems Reports After Care Quality Assurance Student Performance Appraisal Systems Design Education, Medical Quality Improvement Natural Language Processing ab: Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools to facilitate the identification and monitoring of resident and fellow discrepancies in on-call preliminary reports. Over a 6-month period, 19,200 on-call studies were interpreted by 20 radiology residents, and 13,953 on-call studies were interpreted by 25 board-certified radiology fellows representing eight subspecialties. Using standard review macros during faculty interpretation, each of these reports was classified as 'agreement', 'minor discrepancy', and 'major discrepancy' based on the potential to impact patient management or outcome. Major discrepancy rates were used to establish benchmarks for resident and fellow performance by year of training, modality, and subspecialty, and to identify residents and fellows demonstrating a significantly higher major discrepancy rate compared with their classmates. Trends in discrepancies were used to identify subspecialty-specific areas of increased major discrepancy rates in an effort to tailor the didactic and case-based curriculum. A series of missed-case conferences were developed based on trends in discrepancies, and the impact of these conferences is currently being evaluated. Orion is a powerful information technology tool that can be used by residency program directors, fellowship programs directors, residents, and fellows to improve radiology education and training. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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