This research employs the Rapid Application Development (RAD) methodology, which focuses on fast and iterative system development. The research stages include needs analysis, system design using Business Process Model and Notation (BPMN), prototype development, testing, and system implementation. The evaluation involved expert validators and users, using a Likert scale to assess efficiency, effectiveness, security, and satisfaction. The results indicate that the web-based queuing system successfully reduced patient waiting times by up to 30%, improved scheduling accuracy, and minimized manual errors. The system’s implementation also accelerated radiology expertise processes through RIS and MRI modality integration, thereby enhancing operational efficiency and user satisfaction. System validation achieved a reliability level of 100%, with an average user satisfaction score of 4.50 on a scale of 5.