Abstract
Purpose: To determine the feasibility and impact of Clinical Decision Support for imaging ordering. Methods: A survey of 231 emergency providers identified Computed tomography angiography (CTA)-Pulmonary embolism (PE) as an overutilized study. We developed an algorithm that combined established risk scores to stratify patients for PE work-up (recommendations: CTA, D-dimer or no further testing); the algorithm was integrated into the Epic Radiology Information Ordering System. Results: Among 872 studies requested, 479 (55%) received a recommendation to change their order: 6 (1.3%) were cancelled; 13 (2.7%) changed to a D-dimer, and 460 (96%) proceeded with CTA. Of the 853 studies conducted, 8.2% were positive for PE. The algorithm had good discriminatory power with positivity rates of 12.0% (CT), 10.0% (D-dimer), and 2.6% (no further testing). Compliance with the recommendation ranged from 12%–68% (mean 45%) with 10% correlation between compliance and positivity rates. Conclusion: While the CDS algorithm was accurate, it had only a minimal impact on ordering practices, in part due to heterogeneity in physician adherence.
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Goehler, A., Moore, C., Manne-Goehler, J. M., Arango, J., D’Amato, L., Forman, H. P., & Weinreb, J. (2019). Clinical Decision Support for Ordering CTA-PE Studies in the Emergency Department—A Pilot on Feasibility and Clinical Impact in a Tertiary Medical Center. Academic Radiology, 26(8), 1077–1083. https://doi.org/10.1016/j.acra.2018.09.009
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