How AI can help radiologists beat burnout
AI isn’t a replacement for radiologists. It can be a dependable tool for assisting them with the lifesaving work of accurately detecting, diagnosing, documenting and monitoring disease in today’s reading rooms.
In the face of widespread burnout and high patient volumes, AI can help by increasing efficiency and easing workload.
49% of radiologists are burned out¹
Radiology ranks 8th in burnout among 29 physician specialties¹
Lack of respect from administrators/employers, colleagues or staff
Too many work hours*
Lack of control/autonomy
Too many bureaucratic tasks*
*This is where AI can help.
Only 6% indicated they made workflow or staff changes.¹ More radiology teams can combat burnout with workflow adjustments.
AI-powered diagnostic interpretations may be feasible in the long term, but non-interpretive AI is already impacting radiology reporting workflows today and can quickly provide value.² For instance, natural language understanding (NLU) and computer-assisted physician documentation (CAPD) can reduce the burden of administrative tasks and boost workflow efficiency.
These technologies help by:
"It could only be seconds, but every time I have to go to the list, think about the study to choose and wait for it to open, that is time lost. And that time isn’t lost to productivity, it is lost to burnout."
- Rishi Seth, MD, neuroradiologist, Fairfax Radiological Consultants
An advanced speech-driven reporting solution, 3M™ M*Modal Fluency for Imaging helps radiologists create higher quality diagnostic interpretations faster by combining:
With the help of AI, radiologists can:
3M Fluency for Imaging ranked #1 Best in KLAS for Speech Recognition, Front-End Imaging in 2022
Lower the number of dictated words by up to 35% and save 60+ minutes per day by reviewing automatically generated impressions³
Offload repetitive activities that tax time and attention to focus on expert image interpretation and diagnosis
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¹Baggett, S. M., & Martin, K. L. (2022, February 18). Medscape Radiologist Lifestyle, Happiness & Burnout Report 2022. Medscape. https://www.medscape.com/slideshow/2022-lifestyle-radiologist-6014784
²Towbin, A. J. (2020, February 17). Non-Interpretive AI Offers High-Impact Solutions. American College of Radiology Data Science Institute. https://www.acrdsi.org/DSIBlog/2020/02/17/20/01/Non-Interpretive-AI-Offers-High-Impact-Solutions
³Rad AI. (2022). Rad AI Omni. https://www.radai.com/omni