College - Author 1
College of Engineering
Department - Author 1
Industrial and Manufacturing Engineering Department
College - Author 2
College of Science and Mathematics
Department - Author 2
Physics Department
College - Author 3
College of Liberal Arts
Department - Author 3
English Department
Advisor
Jill Speece, College of Engineering, Industrial and Manufacturing Engineering Department; Dr. Stephen R Holtzman, MD, Interventional Radiology, San Luis Obispo, CA; Gabriel Jiva, TurboRad; Miguel Elasmar, TurboRad
Acknowledgements
Radiology Associates
Date
10-2025
Abstract/Summary
TurboRad has developed a system with proven results that streamlines radiology report creation and improves radiologist productivity. A study performed in 2023 found that “the advanced macro-button toolbar system has great correlation for both lower report completion times and increased wRVU productivity. The benefits of the toolbar system are most evident in the simpler XR reports. Though they are simpler to read and complete reports, the greater quantity of XR reports contributes to a greater overall wRVU completion rate throughout the day as radiologists can spend more time on more complex examinations and reports” (Chow, Speece, & Holtzman, 2024). Since 2023, the system has been moved to a new platform that can integrate with various practices’ picture archiving and communication system (PACS). With the industry-wide launch of this new reporting tool coming soon, TurboRad is planning to offer their customers a total solution by understanding the performance metrics they care about the most and offering a tailored dashboard to track progress to these metrics that ties with results of using the new reporting tool. This SURP project has two parts – develop the process for collecting the voice of the customer and develop an interface that tailors a metric dashboard to the needs of the radiologist. This research project will advance student understanding of the process of continuous improvement in healthcare and provide them with an opportunity to gain experience and develop expertise in healthcare data analytics.
October 1, 2025.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/151