Capturing ultrasound, DEXA and AI measurements and incorporating them into the clinical report involves complex integrations and time-consuming manual steps. Automating these processes streamlines workflow, ensures accurate reporting, and improves staff productivity.
Read this case study to learn how RadNet automated the capture, organization, and insertion of structured report measurement data from Ultrasound, DEXA and AI applications into the radiologist’s report, and reaped the following benefits.
Read this case study to learn about:
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Improved radiologist reading efficiency.
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Reduced the risk of clinical data errors.
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Maximized the benefit of their AI investments.
