Root Cause Analysis: Identifying Underlying Issues

Root Cause Analysis: Identifying Underlying Issues

Published by When Notes Fly · View original ↗

Uncover root causes preventing recurrence through techniques like 5 Whys and fishbone diagrams for effective problem-solving.

What has been corrected on this page?

Every accepted correction to this page is recorded with the exact change, so readers can see how the page improved over time.

  1. 29 July 2026 · corrected by Emir Baycan

    Corrected four citations in the article's evidence sections: Virginia Mason Medical Center's Toyota Production System results were misdescribed (the 11 million dollar figure was actually capital investment savings not inventory, the walking-distance figure was for nurses not patients, the 90 percent injury-reduction figure and the specific Leapfrog date range were both unsupported), a Sidney Dekker citation was given an unverified 60 percent versus 18 percent recurrence statistic not found in his real work, a James Bagian Veterans Affairs study was cited with an unverified 1,500-RCA sample and an unverified 43/22/35 percent breakdown, and a 2019 Google DORA report was cited with unverified multipliers specifically tied to blameless postmortems.

    What the page claimed

    Article attributed specific but unsupported or wrong-category figures to Virginia Mason's results, and attached unverified precise statistics to Dekker, Bagian, and the Google DORA report.

    What was corrected

    Virginia Mason's figures corrected to their real categories and Leapfrog record; Dekker, Bagian, and DORA citations corrected to describe their real, qualitative or differently-scoped findings without the unverified precision.

    Why: Verified each named study and statistic against the real published literature; found real researchers, institutions, and reports with unverified or misattributed specific numbers layered on top, the same pattern confirmed across other WNF articles this session.

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