TY - JOUR
T1 - Quantifying and Reducing Errors in Vascular Imaging Examination Orders Through a Multistage Quality Improvement Intervention
AU - DeSimone, Ariadne K.
AU - Deol, Madhvi
AU - Blassel, Emma
AU - Farah, Subrina
AU - Khorasani, Ramin
N1 - Publisher Copyright:
© 2024 American College of Radiology
PY - 2024/8
Y1 - 2024/8
N2 - Purpose: The aims of this study were to quantify order error rates for vascular imaging examinations and to assess the effects of a multistage quality improvement intervention on those rates. Methods: In this prospective, institutional review board–exempt project at a large academic quaternary care hospital, the authors aimed to quantify and reduce the order error rate by 50%. The authors analyzed 844 orders for all vascular imaging examinations placed before the intervention (July 19 to August 1, 2021, and September 13 to September 26, 2021), after an intervention in the cardiac surgery department consisting of a new customized order option in the electronic health record for routine preoperative patients (postintervention 1, February 28 to March 27, 2022); and after an educational and feedback campaign (postintervention 2, May 23 to June 5, 2022). Incorrect orders were identified by a radiology trainee during protocoling if the reasons for ordered examination and imaging examination were discordant and subsequently confirmed with the ordering provider. The primary outcome, order error rate, was compared across the project periods using the χ2 test and by ordering department using the χ2 and Fisher exact tests. Results: The preintervention order error rate of 16% (50 of 306) decreased by 83% to 3% (10 of 353) at postintervention 1 (P < .001) and was durable at 3% (6 of 185) by project end. Chest CT with or without contrast constituted the majority of incorrect orders (44%, 22 of 50); “Pre-Op” was the most common examination reason (32% [16 of 50]). Cardiac surgery orderers were responsible for the most incorrect orders (32% [16 of 50]). All four most common ordering departments, including cardiac surgery, reduced their order error rates after the intervention (P < .001). Conclusions: Incorrect orders for imaging examinations can be reduced through targeted quality improvement interventions combining tailored electronic health record order options with education and feedback on practice habits.
AB - Purpose: The aims of this study were to quantify order error rates for vascular imaging examinations and to assess the effects of a multistage quality improvement intervention on those rates. Methods: In this prospective, institutional review board–exempt project at a large academic quaternary care hospital, the authors aimed to quantify and reduce the order error rate by 50%. The authors analyzed 844 orders for all vascular imaging examinations placed before the intervention (July 19 to August 1, 2021, and September 13 to September 26, 2021), after an intervention in the cardiac surgery department consisting of a new customized order option in the electronic health record for routine preoperative patients (postintervention 1, February 28 to March 27, 2022); and after an educational and feedback campaign (postintervention 2, May 23 to June 5, 2022). Incorrect orders were identified by a radiology trainee during protocoling if the reasons for ordered examination and imaging examination were discordant and subsequently confirmed with the ordering provider. The primary outcome, order error rate, was compared across the project periods using the χ2 test and by ordering department using the χ2 and Fisher exact tests. Results: The preintervention order error rate of 16% (50 of 306) decreased by 83% to 3% (10 of 353) at postintervention 1 (P < .001) and was durable at 3% (6 of 185) by project end. Chest CT with or without contrast constituted the majority of incorrect orders (44%, 22 of 50); “Pre-Op” was the most common examination reason (32% [16 of 50]). Cardiac surgery orderers were responsible for the most incorrect orders (32% [16 of 50]). All four most common ordering departments, including cardiac surgery, reduced their order error rates after the intervention (P < .001). Conclusions: Incorrect orders for imaging examinations can be reduced through targeted quality improvement interventions combining tailored electronic health record order options with education and feedback on practice habits.
KW - Medical order entry systems
KW - diagnostic error
KW - imaging order errors
KW - patient safety
KW - quality improvement
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U2 - 10.1016/j.jacr.2023.12.027
DO - 10.1016/j.jacr.2023.12.027
M3 - Article
C2 - 38176671
AN - SCOPUS:85184745606
SN - 1546-1440
VL - 21
SP - 1248
EP - 1257
JO - Journal of the American College of Radiology
JF - Journal of the American College of Radiology
IS - 8
ER -