Imaging AI has been a major innovation in radiology in recent years. However, these AI algorithms were limited in their ability to improve radiologist productivity beyond the initial image interpretation.
medQ’s AI Navigator™ solution connects the reporting solution and the diagnostic AI program, allowing radiologists to drop AI-generated findings directly into the final report.
Here’s how it works.
When selecting an exam to read, a visual indicator alerts the radiologist to relevant AI findings. The radiologist can then quickly review the findings and select the ones they want to include in the report with a single click.
The amount of productivity gains will depend on how often diagnostic AI is used.
However, it is clear that an AI-integrated reporting workflow can help radiologists provide more data-rich reports while saving 3-5 minutes per patient by eliminating the need to re-dictate or retype AI-generated findings.
Before medQ AI Navigator™ the integration of AI algorithms into PACS was a major obstacle to the widespread adoption of AI in radiology. Many PACS systems are monolithic, operating as a single, closed architecture making it difficult to integrate with third-party vendors.
medQ overcame this obstacle, enabling PACS systems to be more modular and flexible. This innovation means AI algorithms can be integrated more easily and seamlessly.
medQ follows open standards for AI integration, enabling AI algorithms to be integrated into nearly any PACS system, regardless of the vendor.
AI Navigator™ is a software application using artificial intelligence (AI) to automatically update the reading priority level of exams based on the preliminary findings of the PACS-based AI.
The application works by first analyzing the preliminary findings of the PACS-based AI. If the AI finds any potential critical or unexpected findings, the AI Navigator™ will automatically update the reading priority level of the exam to a higher level. This ensures that the exam is read by a radiologist as soon as possible.
The AI Navigator™ also indicates any priority changes made by the navigator on the radiologist worklist permitting the radiologist to see which exams have been prioritized and to quickly review the findings.
By automatically updating the reading priority level of exams, the AI Navigator™ helps to ensure that all critical or unexpected findings are read promptly. This can lead to better patient outcomes and improved patient satisfaction.
Reporting PLUS+™ is a comprehensive reporting environment that provides radiologists with all the tools they need to provide high-quality care, including an AI-powered Assignment Engine and AI Findings Navigator.
Reporting PLUS+™ can help radiologists create radiology reports 4-6x faster by automating the distribution of exam workload and providing AI-powered tools for finding and reporting findings.
The Al-powered Assignment Engine automatically distributes exam workload to radiologists based on their availability, expertise, and other factors. Reporting PLUS+™ is a powerful tool that can help radiologists improve their efficiency and accuracy, and ultimately provide better care for their patients.