Insights into Imaging (Nov 2022)

Imaging intensive care patients: multidisciplinary conferences as a quality improvement initiative to reduce medical error

  • Gloria Muench,
  • Denis Witham,
  • Kerstin Rubarth,
  • Elke Zimmermann,
  • Susanne Marz,
  • Damaris Praeger,
  • Viktor Wegener,
  • Jens Nee,
  • Marc Dewey,
  • Julian Pohlan

DOI
https://doi.org/10.1186/s13244-022-01313-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Background Strategies to identify imaging-related error and minimise its consequences are important in the management of critically ill patients. A new quality management (QM) initiative for radiological examinations has been implemented in an intensive care unit (ICU) setting. In regular multidisciplinary conferences (MDCs), radiologists and ICU physicians re-evaluate recent examinations. Structured bilateral feedback is provided to identify errors early. This study aims at investigating its impact on the occurrence of QM events (imaging-related errors). Standardised protocols of all MDCs from 1st of June 2018 through 31st of December 2019 were analysed with regard to categories of QM events (i.e. indication, procedure, report) and resulting consequences. Results We analysed 241 MDCs with a total of 973 examinations. 14.0% (n = 136/973) of examinations were affected by QM events. The majority of events were report-related (76.3%, n = 106/139, e.g. misinterpreted finding), followed by procedure-related (18.0%, n = 25/139, e.g. technical issue) and indication-related events (5.8%, n = 8/139, e.g. faulty indication). The median time until identification of a QM event (time to MDC) was 2 days (interquartile range = 2). Comparing the first to the second half of the intervention period, the incidence of QM events decreased significantly from 22.9% (n = 109/476) to 6.0% (n = 30/497) (p < 0.0001). Significance of this effect was confirmed by linear regression (p < 0.0001). Conclusions Establishing structured discussion and feedback between radiologists and intensive care physicians in the form of MDCs is associated with a statistically significant reduction in QM events. These results indicate that MDCs may be one suitable approach to timely identify imaging-related error.

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