Literature DB >> 22528902

Optimizing peer review: A year of experience after instituting a real-time comment-enhanced program at a children's hospital.

Jonathan O Swanson1, Mahesh M Thapa, Ramesh S Iyer, Randolph K Otto, Edward Weinberger.   

Abstract

OBJECTIVE: Peer review has become an essential component of a comprehensive radiology department quality assurance program. Multiple commercial programs, such as RADPEER, are available to fill this need but may be limited by low radiologist compliance and delayed or limited feedback. Consequently, these peer review programs may not achieve the greater goal of improving diagnostic quality. This article presents data from a peer review system implemented in an academic radiology group at a large urban multidisciplinary children's hospital. The peer review system offered instantaneous feedback with an enhanced comment feature for peer radiologists.
MATERIALS AND METHODS: Peer review data were collected on 5278 radiologic studies over a 12-month period including 15 radiologists. The data were analyzed for compliance rate, discrepancy rate, and comment usage.
RESULTS: The compliance rate for peer review averaged 52% for the 12-month period. The compliance rate trended upward over the course of the year, with a final month's compliance rate of 76%. The discrepancy rate between original interpretation and peer review was 3.6%. Comments were voluntarily included in 7.3% of nondiscrepant peer review scores.
CONCLUSION: Our peer review process was enhanced by real-time comment-enriched feedback on both discrepant and nondiscrepant peer reviews. We show improved radiologist compliance over the course of a year in a peer review program with no incentives or penalties for performing reviews. To our knowledge, no compliance rates exist in current literature for comparison.

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Mesh:

Year:  2012        PMID: 22528902     DOI: 10.2214/AJR.11.6724

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  8 in total

1.  Survey of peer review programs among pediatric radiologists: report from the SPR Quality and Safety Committee.

Authors:  Ramesh S Iyer; David W Swenson; Neil Anand; Einat Blumfield; Tushar Chandra; Govind B Chavhan; Thomas R Goodman; Naeem Khan; Michael M Moore; Thang D Ngo; Christina L Sammet; Raymond W Sze; Chido D Vera; A Luana Stanescu
Journal:  Pediatr Radiol       Date:  2019-03-29

Review 2.  Practical considerations when implementing peer learning conferences.

Authors:  Anh-Vu Ngo; A Luana Stanescu; David W Swenson; Michael M Moore; Raymond W Sze; Ramesh S Iyer
Journal:  Pediatr Radiol       Date:  2019-03-29

3.  Exposure of patients to ionizing radiation. What are the risks?

Authors:  Michael J Meagher
Journal:  Hawaii J Med Public Health       Date:  2012-11

4.  A workstation-integrated peer review quality assurance program: pilot study.

Authors:  Margaret M O'Keeffe; Todd M Davis; Kerry Siminoski
Journal:  BMC Med Imaging       Date:  2013-07-04       Impact factor: 1.930

Review 5.  Added value of double reading in diagnostic radiology,a systematic review.

Authors:  Håkan Geijer; Mats Geijer
Journal:  Insights Imaging       Date:  2018-03-28

6.  Factors affecting time to publication in information science.

Authors:  Zehra Taşkın; Abdülkadir Taşkın; Güleda Doğan; Emanuel Kulczycki
Journal:  Scientometrics       Date:  2022-02-27       Impact factor: 3.238

7.  Binomial Classification of Pediatric Elbow Fractures Using a Deep Learning Multiview Approach Emulating Radiologist Decision Making.

Authors:  Jesse C Rayan; Nakul Reddy; J Herman Kan; Wei Zhang; Ananth Annapragada
Journal:  Radiol Artif Intell       Date:  2019-01-30

Review 8.  Error and discrepancy in radiology: inevitable or avoidable?

Authors:  Adrian P Brady
Journal:  Insights Imaging       Date:  2016-12-07
  8 in total

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