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Radiologist Peer Review by Group Consensus.

H Benjamin Harvey1, Tarik K Alkasab2, Anand M Prabhakar2

  • 1Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Institute for Technology Assessment, Massachusetts General Hospital, Boston, Massachusetts.

Journal of the American College of Radiology : JACR
|February 25, 2016
PubMed
Summary
This summary is machine-generated.

The consensus-oriented group review (COGR) method is a feasible approach for radiologist peer review, identifying discordance in 2.7% of diagnostic imaging reports. This method helps elucidate error sources and meet performance review standards.

Keywords:
COGRRADPEERRadiologyconsensuserrorpeer reviewqualityquality assurancequality improvementregulationsafety

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Area of Science:

  • Radiology
  • Medical Imaging
  • Quality Improvement

Background:

  • Radiologist peer review is crucial for ensuring diagnostic accuracy and patient safety.
  • Existing peer review methods may not always provide sufficient contextual data on error sources.
  • The consensus-oriented group review (COGR) method offers a structured approach to peer review.

Purpose of the Study:

  • To assess the feasibility of implementing the consensus-oriented group review (COGR) method for radiologist peer review.
  • To evaluate the effectiveness of COGR in a large, subspecialty academic radiology department.
  • To identify discordance rates and their primary causes within diagnostic imaging reports.

Main Methods:

  • A total of 11,222 CT, MRI, and ultrasound examinations were peer reviewed using COGR over two years.
  • Discordance rates and sources were analyzed by modality and subspecialty division.
  • Statistical analyses, including chi-squared tests and regression, were used to compare groups and identify associations.

Main Results:

  • The overall discordance rate was 2.7%, with variations across modalities (MR highest at 3.4%).
  • Missed findings constituted the most frequent cause of discordance (43.8%), followed by interpretive and dictation errors.
  • Discordant cases involved more participating radiologists and were more likely to result in report addenda.

Conclusions:

  • The COGR method is a feasible and effective tool for collecting detailed peer review data in diagnostic imaging.
  • COGR facilitates the identification of specific error sources, aiding in targeted quality improvement initiatives.
  • This method supports compliance with external standards for ongoing radiologist performance evaluation.