Ja. Espinosa et Tw. Nolan, Reducing errors made by emergency physicians in interpreting radiographs: longitudinal study, BR MED J, 320(7237), 2000, pp. 737-740
Citations number
13
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Objectives To reduce errors made in the interpretation of radiographs in an
emergency department.
Design Longitudinal study.
Setting Hospital emergency department.
Interventions All staff reviewed all clinically significant discrepancies a
t monthly meetings. A file of clinically significant errors was created; th
e file was used for teaching. Later a team redesigned the process. A system
was developed for interpreting radiographs that would be followed regardle
ss of the day of the week or time of day. All standard radiographs were bro
ught directly to the emergency physician for immediate interpretation. Radi
ologists reviewed the films within 12 hours as a quality control measure, a
nd if a significant misinterpretation was found patients were asked to retu
rn.
Main outcome measures Reduction in number of clinically significant errors
(such as missed fractures or foreign bodies) on radiographs read in the eme
rgency department. Data on the error rate for radiologists and the effect o
f the recall procedure were not available so reliability modelling was used
to assess the effect of these on overall safety.
Results After the initial improvements the rate of false negative errors fe
ll from 3% (95% confidence interval 2.8% to 3.2%)to 1.2% (1.03% to 1.37%).
After the processes were redesigned it fell further to 0.3% (0.26% to 0.34%
). Reliability modelling showed that die number of potential adverse effect
s per 1000 cases fell from 19 before the improvements to-3 afterwards and u
nmitigated adverse effects fell from 2.2/1000 before to 0.16/1000 afterward
s, assuming 95% success in calling patients back.
Conclusion Systems of radiograph interpretation that optimise the skills of
an clinicians involved and contain reliable processes for mitigating error
s can reduce error rates substantially.