IMedis Improving Quality in Radiology
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WHEN LIVES ARE ON THE LINE QUALITY IS EVERYTHING IMedis Duali-Q, AI-powered with automated quality assurance for radiology

THE CHALLENGE OF QA IN RADIOLOGY Radiology scans are some of the most requested diagnostic tests in healthcare, yet the margin for error is huge. With radiologists under pressure to complete reports as quickly as possible, missing incidental findings is common. This leaves radiology departments open to lawsuits, puts added pressure on already overtaxed staff, and denies patients the opportunity for necessary follow-up care. Annual Scans with Diagnostic Errors1 of malpractice lawsuits against radiologists relate to diagnostic errors2 Annual Cost of Errors in Radiology in the US3 Radiology...

MEET IMEDIS DUALI-Q - the first fully automated QA for radiology IMedis Duali-Q optimizes the QA process by performing QA on every image and accompanying report to uncover actionable failure points through “smart” peer-review and peer-learning, helping to enhance radiology performance, reducing the risk to providers and improving outcomes for patients. AI automation Our AI automatically analyzes radiology images to detect commonly-overlooked findings, such as lung cancer and heart disease, comparing image data with report text, then any discrepancies are automatically flagged. Essential...

HOW IT WORKS Image capture The patient undergoes imaging according to the pre-decided protocol Duali-Q AI assessment Duali-Q automatically analyzes the images for commonly overlooked findings. It then compares the findings with those noted in the report to uncover errors of omission. unnecessary alerts with Duali-Q Radiology report created The radiologist examines the images and prepares their report. The report is sent to the requesting physician. Team alerted Only if Duali-Q finds a significant discrepancy between findings in the images and the information given in the report, the case is...