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Improving Time to Diagnostic Resolution in the Breast Imaging Service: A Tertiary Center's Experience and Process of Improvement

  • Nader A. Fawzy
  • , Noor F. Almuslem
  • , Afaf Altayeb
  • , Mohammad J. Ghosheh
  • , Nuha A. Khoumais*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Objective: Breast imaging services often experience a significant degree of variability in patient flow, leading to delay in time to diagnostic resolution, commonly referred to as time to resolution (TTR). This study applies Lean Six Sigma Methodology (LSSM) to reduce TTR and enhance patient outcomes. Methods: This study was IRB-Approved. A baseline audit was done using cases of mammographic recalls (BI-RADS 0) to measure baseline TTR. Multidisciplinary meetings with all members of the breast imaging service, alongside a study of patient complaint data, were utilized to identify issues that were causing prolonged TTR. Following that, possible solutions were proposed and implemented. A post-implementation audit was conducted, and the resulting TTRs were compared. Significant differences in TTR between the pre-and post-solution implementation were assessed using the Mann-Whitney U test. Results: During the baseline audit of 8 months, 589 cases of mammographic recalls (BI-RADS 0) were identified, and the resulting average TTR was 86.3 days. During the post-implementation period of 3 months, 370 mammographic recalls (BI-RADS 0) occurred, with a resulting average TTR of 36.0 days. After applying LSSM, TTR was reduced by 58.3% (Pa-<a0.01). Some changes implemented included training the coordinators, establishing a rapid diagnostic clinic using previously underutilized equipment, and having radiologists assigned full-Time to the breast imaging service. Conclusion: Our team has successfully managed to identify various causes behind the prolonged TTR using LSSM. Team collaboration was essential to study and decide on a more achievable TTR.

Original languageEnglish
Pages (from-to)555-564
Number of pages10
JournalJournal of Breast Imaging
Volume5
Issue number5
DOIs
StatePublished - 1 Sep 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Society of Breast Imaging. All rights reserved.

Keywords

  • Six Sigma
  • breast imaging
  • lean
  • mammography
  • process improvement

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