A versatile and vendor-neutral rules engine for medical imaging workflows is designed for radiologists aiming to unify interpretation and quality control tasks within both single and multi-system settings, thereby enhancing visibility and fostering communication. This solution aligns the demand for services with the available supply by automatically escalating and assigning cases to the most suitable and readily available physicians. By utilizing a comprehensive and intelligent worklist that consolidates interpretation and quality tasks, it promotes collaboration throughout the organization. Performance is enhanced through the implementation of best practice workflows, which lead to quicker turnaround times and a decreased length of patient stay. Additionally, the system prioritizes exams flagged by AI for abnormalities, ensuring that urgent studies are handled more swiftly through advanced artificial intelligence algorithms. The quality of assessments is further improved by integrating both custom and standardized workflows for various reviews, including anonymous peer reviews, technologist evaluations, communication between Emergency Departments and Radiology, and the review of mammography images, among others. Overall, this innovative approach not only streamlines processes but also elevates the standard of care provided to patients.