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  • Reporting
  • Continuity
  • Patient Follow-Up

Addressing Unmet Needs

A convergence of factors, including increasing demand for imaging studies and COVID-related burnout, is exacerbating a global shortage of radiologists.1

 

Radiologists' personal productivity and efficiency are critically important for both improving patient outcomes and protecting radiologist well-being, particularly given recent trends toward increased workloads, increased complexity of examinations, decreased reimbursement, and demands for shorter turnaround times.2

 

    Automated reporting solution 

    • Automates reporting and simplifies the report generation process by auto-generating impressions based on the study indications and findings dictated by the radiologist, increasing the speed of report generation process. 

    • Radiologist impressions are generated in 0.5 to 3 seconds depending on complexity for all specialties and modalities. 

    • Radiologists dictate up to 35% fewer words

    Automated Reporting Solution

    • Open platform allows reporting integrations from other imaging AI vendors

    • Reduce dictation times by up to 50% and words dictated by up to 90% in some use cases

    Follow-ups

    • Identifies and categorizes follow-up recommendations from radiology reports

    • Automates communication with the provider and patient, when clinically appropriate.

    • Rad AI Continuity closes the loop on follow-up recommendations for significant findings in radiology reports, including incidental findings. This has the potential to improve patient outcomes, reduce health system liability, and drive new financial value.

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    Applications Tailored to You

    Discover how our tailored service lines and applications can better suit your needs.

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      1 Radiological Society of North America. (2022, May). Global radiologist shortage. Retrieved August 29, 2024, from https://www.rsna.org/news/2022/may/globalradiologist-shortage

      2 McGrath AL, Dodelzon K, Awan OA, et.al. (2022): Optimizing radiologist productivity and efficiency: Work smarter, not harder. Eur J Radiol. 2022 Oct;155:110131. doi: 10.1016/j.ejrad.2021.110131.

      3 Schwartz, L, Panicek, D, Berk, A. et. al. (2011): Improving Communication of Diagnostic Radiology Findings through Structured Reporting. Radiology. 2011 Jul; 260(1): 174–181.

      4 Radai. (n.d.). Save Time and Decrease Burnout with Radiology AI Software. Retrieved October 10, 2024, from https://www.radai.com