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Meet IMedis Duali-Q

AI-powered,
automated quality assurance for radiology.

IMedis Duali-Q optimizes the QA process by performing automatic QA on every CT scan and accompanying report to uncover actionable failure points,  helping to enhance radiology performance, reducing the risk to providers and improving outcomes for patients.  

Why Duali-Q?

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AI automation

Our AI automatically analyzes radiology images to detect commonly-overlooked findings, such as pulmonary nodules and liver lesions, comparing image data with report text, then any discrepancies are automatically flagged.

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Impact Critical Healthcare Domains

High quality radiology has a tremendous positive impact on healthcare expenditure, by improving diagnosis, treatment planning and monitoring in chronic conditions.

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Essential indications

Duali-Q identifies potentially life-threatening, yet frequently missed, findings. Current indications include liver lesions, pulmonary nodules, thoracic aorta dilation, pancreatic lesions, and abdominal aorta dilation.

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Empowering all Radiology Stakeholders

Duali-Q provides actionable reports to administrators, radiologists, and management to improve quality and help reduce liability.

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Comprehensive Results for Superior QA

Duali-Q offers ongoing analytics for a bird-eye-view on the level of performance within a department to identify trends and  create initiatives for optimization.

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Automated QA without disrupting the radiology workflow

IMedis Duali-Q works independently of the radiology workflow and only produces notifications for missed findings for QA purposes, reducing ‘alert fatigue’ and protecting the smooth running of the radiology department.

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How it works:

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Image capture

The patient undergoes imaging according to the pre-decided protocol

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Radiology report created 

The radiologist examines the images and prepares their report. The report is sent to the requesting physician.

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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.  

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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 flagged within the Duali-Q platform for peer-review and peer-learning. 

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Life saving indications

Duali-Q screens for commonly overlooked indications that can have life-altering consequences if missed. For example, pulmonary nodules are common incidental findings, present in 8% to 51% of chest computed tomography (CT) scans. They are an early sign of lung cancer, with a prevalence of malignancy of 1.3% to 28% of cases with nodules between 6 and 10 mm in size. Failure to report these commonly overlooked findings prevents patients from receiving vital follow-up and can cost lives. 

Duali-Q assesses radiology reports for overlooked:

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Liver

Lesions

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Pulmonary Nodules

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Thoracic

Aorta Dilation

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Pancreatic Lesions

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Abdominal Aorta Dilation

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Flexible Pricing

Duali-Q is designed to adapt to the unique needs of each healthcare system. Our subscription based pricing model reflects this commitment. 

 

Deployment of Duali-Q is offered on a tiered investment system with healthcare systems paying according to the volume of their CT scans