Radiology Group says AI workflow cut scan turnaround times in half
The Radiology Group says its new workflow AI has cut radiology study turnaround times by 50% across its network, with some rural hospitals outperforming academic and tertiary centers. The company also says it posts turnaround-time results weekly and was named one of Modern Healthcare’s best places to work for 2026.
Why it matters: - Faster radiology reads can speed diagnosis and treatment decisions, especially in rural hospitals with fewer specialist resources. - TRG says its AI workflow has improved turnaround times enough that some rural sites are now posting better results than academic and large tertiary medical centers.
What happened: - The Radiology Group LLC said it cut turnaround times in half after implementing a new Workflow AI. - Dr. Tejal Lalaji, TRG’s chief medical officer and principal, said the technology has changed how the company serves patients in rural healthcare markets. - TRG said it publishes turnaround-time results every week on its website.
The details: - TRG is a family-operated radiology company built and run by radiologists for rural healthcare. - The company says the AI was developed for workflow use across its system. - TRG said the results reflect performance across its network, not a one-off site pilot. - The company also said it was named to Modern Healthcare’s best places to work for 2026.
Between the lines: - The claim suggests AI is being used as an operational tool, not just a diagnostic assistant. - Weekly reporting on turnaround times signals a focus on measurable performance and operational transparency. - The rural-hospital comparison points to a broader strategy: use automation to narrow access gaps with larger health systems.
What’s next: - TRG says there is “a lot to come” as it continues building on its workflow AI. - The company is likely to keep tracking and publishing turnaround-time metrics as a public proof point.
The bottom line: - TRG is betting that workflow AI can do more than improve efficiency; it can reshape how quickly rural patients get answers.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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