IMedis Improving Quality in Radiology
IMedis Improving Quality in Radiology
IMedis Duali-Q is an AI-powered solution designed to enhance quality assurance (QA) in radiology by automating the review process, reducing diagnostic errors, and improving patient outcomes.
Radiology scans are critical diagnostic tools, yet errors are prevalent due to the pressure on radiologists to quickly complete reports. This leads to missed incidental findings, potential lawsuits, and increased healthcare costs. Traditional QA methods are sporadic and rely heavily on overworked staff.
IMedis Duali-Q offers a fully automated QA process that analyzes every image and report to identify discrepancies. It uses AI to detect commonly overlooked findings such as lung cancer and heart disease, and flags discrepancies for peer review. The system focuses on critical indications like liver lesions and pulmonary nodules.
High-quality radiology improves diagnosis, treatment planning, and monitoring, reducing healthcare costs. Duali-Q provides actionable reports to stakeholders, enhancing quality and reducing liability.
The process involves image capture, AI assessment by Duali-Q, alerting the team if discrepancies are found, and creating a radiology report. The system reduces unnecessary alerts by 76% and increases detection of overlooked findings by 13% at UCSD.
IMedis is dedicated to developing comprehensive quality management systems for radiology, integrating seamlessly with existing hospital systems to provide automated QA.
Catalog excerpts
WHEN LIVES ARE ON THE LINE QUALITY IS EVERYTHING IMedis Duali-Q, AI-powered with automated quality assurance for radiology
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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 quality...
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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 indications...
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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 flagged...
Open the catalog to page 4- Analysis software
- Radiology software
- Visualization software
- Tablet computer software
- Tablet PC software
- Control software
- Reporting software
- Laboratory software
- Monitoring software
- Diagnostic software
- Planning software
- Cloud-based software
- Hospital software
- Automated software
- Treatment software
- Traceability software
- AI-assisted software
- Measurement software
- Artificial intelligence software
- Surgery software