Literature DB >> 25457568

The use of ACR Appropriateness Criteria: a survey of radiology residents and program directors.

Daniel K Powell1, James E Silberzweig2.   

Abstract

PURPOSE: Assess the utilization of American College of Radiology Appropriateness Criteria (ACR-AC) among radiology residency program directors (PDs) and residents.
METHODS: Radiology PD and resident survey.
RESULTS: Seventy-four percent (46/62) of PDs promote ACR-AC in education (P<.05), and 84% (317/376) of residents have read at least a few (P<.05). Seventy-four percent (74/100) of first-year residents compared to 56.8% (157/276) of second- to fourth-year residents report at least occasional faculty reference of ACR-AC (P<.05). ACR-AC are well regarded (P<.05), but 40% believe that they are perplexing.
CONCLUSION: There is widespread resident awareness of ACR-AC and integration into resident training. However, faculty are only beginning to teach with them, and radiologists are not citing them with clinicians.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Appropriateness criteria; Decision support; Diagnostic Radiology Milestones Project; Resident education

Mesh:

Year:  2014        PMID: 25457568     DOI: 10.1016/j.clinimag.2014.10.011

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  5 in total

1.  COLLABORADI: a rule-based diagnostic imaging prescription system to help the general practitioner to choose the most appropriate radiological imaging procedures.

Authors:  Romeo Placido; Domenico Calcaterra; Stefano Canitano; Giuseppe Capodieci; Giuseppe Di Modica; Maria Adele Marino; Enrico Pofi; Orazio Tomarchio; Antonio Orlacchio
Journal:  Radiol Med       Date:  2016-12-09       Impact factor: 3.469

2.  Effects of Physician Experience, Specialty Training, and Self-referral on Inappropriate Diagnostic Imaging.

Authors:  Gary J Young; Stephen Flaherty; E David Zepeda; Koenraad J Mortele; John L Griffith
Journal:  J Gen Intern Med       Date:  2020-01-23       Impact factor: 5.128

3.  Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Authors:  Imon Banerjee; Yuan Ling; Matthew C Chen; Sadid A Hasan; Curtis P Langlotz; Nathaniel Moradzadeh; Brian Chapman; Timothy Amrhein; David Mong; Daniel L Rubin; Oladimeji Farri; Matthew P Lungren
Journal:  Artif Intell Med       Date:  2018-11-23       Impact factor: 5.326

Review 4.  Neuroimaging Wisely.

Authors:  J Buethe; J Nazarian; K Kalisz; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-09       Impact factor: 3.825

5.  Agreement Between International Radiologists on the Appropriateness and Urgency in Lumbar Spine MRI Referrals.

Authors:  John Stowe; Ali Hasayan Alanazi; Andrea Cradock; Rachel Toomey; Marie Galligan; John Ryan; Louise Rainford
Journal:  Int J Gen Med       Date:  2022-07-28
  5 in total

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