The degree of abdominal imaging (AI) subspecialization of the reviewing radiologist significantly impacts the number of clinically relevant and incidental discrepancies identified during peer review of emergency after-hours body CT studies.
| Publicado en: | Abdominal Imaging Vol. 39; no. 5; pp. 1114 - 1119 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Oct2014
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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=109755886&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109755886 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09428925 O52 jtl: Abdominal Imaging issn: 09428925 maglogo: N pubinfo: dt: Oct2014 vid: 39 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109755886 2012735315 10.1007/s00261-014-0139-4 NLM24740761 109755886 ppf: 1114 ppct: 5 formats: fmt: @attributes: type: P tig: atl: The degree of abdominal imaging (AI) subspecialization of the reviewing radiologist significantly impacts the number of clinically relevant and incidental discrepancies identified during peer review of emergency after-hours body CT studies. aug: au: Bell, Megan E Patel, Maitray D affil: Department of Radiology, Mayo Clinic, 5777 E. Mayo Blvd., Phoenix, AZ, 85054, USA. sug: subj: Health Care Delivery Statistics and Numerical Data Emergencies Peer Review Methods Radiography, Abdominal Methods Specialization Tomography, X-Ray Computed Methods Health Care Delivery Methods Human Observer Bias Radiography, Abdominal Statistics and Numerical Data Specialties, Medical Methods Specialties, Medical Statistics and Numerical Data Reproducibility of Results Retrospective Design Tomography, X-Ray Computed Statistics and Numerical Data pubtype: Academic Journal doctype: research Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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