Literature DB >> 25041992

Expert witness blinding strategies to mitigate bias in radiology malpractice cases: a comprehensive review of the literature.

Daniel J Durand1, Christopher T Robertson2, Gautam Agarwal3, Richard Duszak4, Elizabeth A Krupinski5, Jason N Itri6, Anthony Fotenos3, Brent Savoie3, Alexander Ding7, Jonathan S Lewin3.   

Abstract

Like all physicians, radiologists in the United States are subject to frequent and costly medical malpractice claims. Legal scholars and physicians concur that the US civil justice system is neither precise nor accurate in determining whether malpractice has truly occurred in cases in which claims are made. Sometimes, this inaccuracy is driven by biases inherent in medical expert-witness opinions. For example, expert-witness testimony involving "missed" radiology findings can be negatively affected by several cognitive biases, such as contextual bias, hindsight bias, and outcome bias. Biases inherent in the US legal system, such as selection bias, compensation bias, and affiliation bias, also play important roles. Fortunately, many of these biases can be significantly mitigated or eliminated through the use of appropriate blinding techniques. This paper reviews the major works on expert-witness blinding in the legal scholarship and the radiology professional literature. Its purpose is to acquaint the reader with the evidence that unblinded expert-witness testimony is tainted by multiple sources of bias and to examine proposed strategies for addressing these biases through blinding.
Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Observer performance; blinded peer review; expert-witness blinding; medical malpractice; observer bias

Mesh:

Year:  2014        PMID: 25041992     DOI: 10.1016/j.jacr.2014.05.001

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  3 in total

Review 1.  Redefining the Practice of Peer Review Through Intelligent Automation Part 1: Creation of a Standardized Methodology and Referenceable Database.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

Review 2.  Redefining the Practice of Peer Review Through Intelligent Automation-Part 3: Automated Report Analysis and Data Reconciliation.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

3.  Non-contrast MR angiography using three-dimensional balanced steady-state free-precession imaging for evaluation of stenosis in the celiac trunk and superior mesenteric artery: a preliminary comparative study with computed tomography angiography.

Authors:  Patricia P Cardia; Thiago J Penachim; Adilson Prando; Ulysses S Torres; Giuseppe D'Ippólito
Journal:  Br J Radiol       Date:  2017-06-07       Impact factor: 3.039

  3 in total

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