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Review
. 2025 Oct 1;12(4):578-587.
doi: 10.1515/dx-2025-0128. eCollection 2025 Nov 1.

Improving diagnosis: advances in radiology

Nadja Kadom  1   2 , Tessa S Cook  3 , Michael A Bruno  4
Affiliations
Free article
Review

Improving diagnosis: advances in radiology

Nadja Kadom et al. Diagnosis (Berl). .
Free article

Abstract

Diagnostic radiologists are uniquely positioned to make a difference in the reduction of diagnostic errors in medicine, which was identified as a national priority in a special report of the National Academies of Medicine in 2015. Interest in diagnostic error reduction within the specialty of diagnostic radiology has been accelerated in recent years by the adoption of rapidly evolving technological and process-based solutions for previously identified vulnerabilities (i.e., potential failure modes) in the radiology workflow that are known to increase the risk of errors. Here we describe a range of such potential failure modes contributing to diagnostic error in the practice of diagnostic radiology and summarize evolving efforts to mitigate them. These include fostering the adoption of peer learning and other feedback and education programs, a range of measures under development for ongoing performance evaluation of radiologists and their work-processes, and the deployment of new technologies, most notably artificial intelligence tools, to augment human performance and thereby improve diagnostic accuracy in Radiology.

Keywords: diagnosis error; diagnostic radiology; framework; improvements.

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References

    1. National Academies of Sciences, Engineering, and Medicine . Improving diagnosis in health care . Washington, DC: The National Academies Press; 2015. Available for download (PDF format) at http://nap.nationalacademies.org/21794 .
    1. Kadom, N, Doherty, G, Solomon, A, Close, M, Friedman, S, Gregson, D, Rostad, BS, Moses, JM, Norbash, A. Safety-net academic hospital experience in following up noncritical yet potentially significant radiologist recommendations. AJR Am J Roentgenol 2017;209:982–6. https://doi.org/10.2214/AJR.17.18179 . Epub 2017 Aug 4. PMID: 28777651. - DOI
    1. Kadom, N, Venkatesh, AK, Shugarman, SA, Burleson, JH, Moore, CL, Seidenwurm, D. Novel quality measure set: closing the completion loop on radiology follow-up recommendations for noncritical actionable incidental findings. J Am Coll Radiol 2022;19:881–90. https://doi.org/10.1016/j.jacr.2022.03.017 . Epub 2022 May 21. PMID: 35606263. - DOI
    1. Kadom, N, Fredericks, N, Moore, CL, Seidenwurm, D, Shugarman, S, Venkatesh, A. Closing the compliance loop on follow-up imaging recommendations: comparing radiologists’ and administrators’ attitudes. Curr Probl Diagn Radiol 2022;51:486–90. https://doi.org/10.1067/j.cpradiol.2021.08.003 . Epub 2021 Aug 29. PMID: 34565635. - DOI
    1. Lee, CS, Neumann, C, Jha, P, Baumgarten, DA, Chu, L, Surovitsky, M, Kadom, N. Current status and future wish list of peer review: a national questionnaire of U.S. radiologists. AJR Am J Roentgenol 2020;214:493–7. https://doi.org/10.2214/AJR.19.22194 . Epub 2020 Jan 15. PMID: 31939700. - DOI

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