Radiology artificial intelligence (AI) company, RadiLens, is partnering with Augusta University Health System (AUHS) to develop AI-driven technology being designed to improve follow-up management and workflow efficiency with radiological services.

AUHS's Department of Radiology & Imaging will work collaboratively to develop the AI-driven technology to better manage workloads, flows, and processes and proactively improve follow-up conformance. RadiLens is focused on integrating AI into operating processes to realize efficiency gains for constrained but growing healthcare organizations, an area needing innovation but overlooked in a market dominated by imaging-diagnostic tools.

RadiLens uses an NLP-driven engine to analyze clinical context, modalities, anatomies, and study descriptions from Radiology orders and reports. Their proactive leakage prevention product analyzes Radiology reports for the presence of follow-up recommendations, tracks scheduling systems to identify unscheduled events, and closes the loop with a streamlined care navigation process. Their worklist intelligence product selects the right study for Radiologists to read next and eliminates the time spent monitoring complex rules-based worklists and filters, integrating directly with existing RIS/PACS so that there is no new software to learn.

From the perspective of a clinician ordering an imaging study, built-in intelligence and automation garners trust that their studies will be returned in the best timeframe possible and follow-up care will not slip through the cracks. For Radiology and care navigation teams, this automation enhances clinical workflows and equips teams with the right tools and data at the right time. For the organization, this ensures revenue growth, reduced risk, and improved quality metrics. See more at www.radilens.com