Guided Reporting –
Rethinking structured Reporting
Key to the development of Guided Reporting is the idea of digitally mapping the thinking of experienced radiologists. The resulting software provides a structured framework that helps guide users through the analysis process, offering flexibility while ensuring key considerations are addressed.
Guided reporting and AI are shaping the future of Radiology. Learn from leading experts in the field with our free online lectures.
Definitely, the growing number of scans and increasing complexity of cases is a real challenge for radiologists.
A Message from Jan Wintzer, Co-founder
The Weaknesses Of Current Reporting
Rising Imaging Demands, Stretched Radiology Teams
- Modern CT and MRI scanners produce more images than ever, yet the radiology workforce has not kept pace, straining existing staff.1,2
- Rising pressure is driving high burnout rates, especially in private practice, worsening workforce challenges and underscoring the need for effective solutions.3–5
Time Lost in Reporting
- Radiologists face reduced productivity due to time-consuming manual processes.6
- Unclear radiology findings and ambiguities result in lengthy consultations and additional imaging.7,8
Unclear Referrals and Inconsistent Reporting Fuel Redundant Imaging
- Inefficient communication between referring physicians and radiologists plays a crucial role in overutilization. Unclear referral information, ambiguous clinical indications, and a lack of standardized reporting practices contribute to misinterpretations and redundant imaging.9
How Guided Reporting Can Address Current Weaknesses in Radiology
- Guided reporting provides a structured reporting framework supporting radiologists by streamlining high-volume workflows and reducing cognitive load.
- Intuitive selection tools and pre-defined fields eliminate repetitive tasks and reduce time spent generating reports.
- Standardized, comprehensive output ensures clarity and consistency, improving communication and reducing unnecessary follow-ups.
- Smith-Bindman R, Kwan ML, Marlow EC, et al. Trends in Use of Medical Imaging in US Health Care Systems and in Ontario, Canada, 2000-2016. JAMA. 2019;322(9):843–856.
- Rosenkrantz AB, Hughes DR, Duszak R Jr. The U.S. Radiologist Workforce: An Analysis of Temporal and Geographic Variation by Using Large National Datasets. Radiology. 2016;279(1):175–84.
- Hudnall, CE. Burnout Fueling Workforce Woes. American College of Radiology. Available at: https://www.acr.org/Clinical-Resources/Publications-and-Research/ACR-Bulletin/Burnout-Fueling-Workforce-Woes. (Accessed March 2025).
- Fawzy NA, Tahir MJ, Saeed A, et al. Incidence and factors associated with burnout in radiologists: A systematic review. Eur J Radiol Open. 2023;11:100530.
- Parikh JR, Moore AV, Mead L, et al. Prevalence of Burnout of Radiologists in Private Practice. J Am Coll Radiol. 2023;20(7):712–718.
- Dhanoa D, Dhesi TS, Burton KR, Nicolaou S, Liang T. The evolving role of the radiologist: the Vancouver workload utilization evaluation study. J Am Coll Radiol. 2013;10(10):764–9.
- Kwee RM, Toxopeus R, Kwee TC. Imaging overuse in the emergency department: The view of radiologists and emergency physicians. Eur J Radiol. 2024;176:111536.
- Lysdahl KB, Hofmann BM. What causes increasing and unnecessary use of radiological investigations? A survey of radiologists’ perceptions. BMC Health Serv Res. 2009;9:155.
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Kwee RM, Toxopeus R, Kwee TC. Imaging overuse in the emergency department: The view of radiologists and emergency physicians. Eur J Radiol. 2024;176:111536.
Further topics
RadioReport® Automatic AI revolutionizes reporting
We have mapped the thought processes of experienced radiologists into RadioReport® Automatic AI. Starting with anatomy instead of pathology, the software guides you like a virtual interview to the final report.
Inquire now
We would love to arrange a personal RadioReport® Automatic AI demonstration for you.