How Do I Use the Dashboard? Start on the Executive Overview tab to see the baseline MRI workflow profile, including the estimated arrival-to-report cycle time, bottleneck stage, throughput pressure, and ergonomic burden indicators. Then move to the Workflow Stages and Timing Benchmarks tabs to review each step in sequence, from order scheduling and patient prep to scanning, post-scan processing, radiologist interpretation, reporting, and critical-result communication. Select the workflow context that best matches your operation, such as an academic versus community setting, inpatient versus outpatient, and exam type or complexity (e.g., brain, spine, contrast, non-contrast). After that, use the Scenario Lab and Interventions tabs to test practical changes, such as adding parallel preparation capacity, improving screening automation, reducing repeat sequences, enabling guided reporting, or introducing AI-supported acceleration tools. As you change inputs, the dashboard recalculates the downstream effects so you can see which steps improve the overall cycle and which simply shift the bottleneck to another part of the process. This is especially helpful for planning staffing, scanner utilization, protocol redesign, and radiologist reporting workflows before making operational changes in the real department.

What Does the Dashboard Tell Me? The dashboard predicts the operational impact of workflow conditions and process improvements across the MRI time-motion-function pathway. It models changes in total cycle time, stage-specific delays, bottleneck concentration, relative throughput capacity, and workflow strain based on the assumptions and timing parameters you set. In practical terms, it helps answer questions such as: “If we reduce prep delays by 20 percent, does scan throughput improve or does reporting become the new constraint?” or “If repeat imaging due to motion increases, which role absorbs the greatest burden and how much does report completion drift?” It also predicts comparative performance across different exam and facility profiles, helping radiology leaders understand why the same intervention may work well in an outpatient community site but yield limited gains in a high-acuity inpatient academic environment. The dashboard does not directly predict clinical diagnoses or patient outcomes. Instead, it predicts workflow performance, process friction, and the likely operational consequences of process design choices, which is exactly what makes it valuable for radiology professionals focused on access, turnaround time, staff workload, reliability, and quality.