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RadiLens and Augusta University Health System to Build AI-driven Radiology Workflow Intelligence Solutions

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RadiLens, a radiology artificial intelligence (AI) company, announced a partnership with Augusta University Health System (AUHS) to develop a technology for use in follow-up management and workflow efficiency in radiology.

AUHS’ Department of Radiology & Imaging will collaborate on the development of AI-driven technology for managing workloads, flows, and processes, as well as proactively improving follow-up compliance. RadiLens integrates artificial intelligence into operating processes to enable healthcare organizations to achieve efficiency gains, a necessity and yet not being addressed in the imaging-diagnostic market.

Mallary Myers, VP & Chief Innovation Officer, Augusta University Health System, said, “The right technology strategy can help enhance workload efficiencies and augment teams with tools and data to better manage patient care. When healthcare solutions meet at the intersection of technology and innovation, the clear winner is the patient.”

RadiLens analyzes Radiology orders and reports using an NLP-driven engine to understand clinical context, modalities, anatomy, and study descriptions. Radiology reports are analyzed for follow-up recommendations in their proactive leakage prevention product, scheduling systems are tracked to identify unscheduled events, and streamlined care navigation is implemented to close the loop. Using their intelligent worklist product, radiologists will always read the right study next and no more time will be spent monitoring complex rules-based worklists and filters, integrating directly with existing RIS/PACS systems so learning new software is not required.

Built-in intelligence and automation help the clinician who orders the imaging study feel confident that their studies will be returned within the best possible timeline and follow-up care will be provided. This automation improves clinical workflows for Radiology and Care Navigation staff and equips them with the appropriate tools and data on demand.

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