S2345
Physics - Quality assurance and auditing
ESTRO 2026
compliance, a planning whiteboard, task completion reminders, and safety guardrails, without requiring additional data entry. Results: Analysis over two years demonstrated that timely contouring was a strong predictor of downstream performance. On-time planning occurred in 60% of cases when contours were completed on time, compared to 25% when contouring was late. Late contours resulted in compressed planning time windows (Figure 1), with 51% of plans completed within one business day and 73% within two, compared to 34% and 53% for timely contours, respectively. Following deployment of the automated monthly contouring report, we observed a 14% improvement in on-time contour completion (6 months post-intervention vs. 6 months pre- intervention, Figure 2).
Without external guidance, reproducible sBH during simulation remains challenging. DIR quality strongly depends on BH consistency. Dosimetry impact was minor for spinal cord and lungs but higher for the target volume, highlighting the need for improved density management. While deviations are acceptable for peripheral tumours, accurate registration and consistent BH are crucial for high-risk cases. References: 1 Cheng, S. H., Lee, S. Y., & Lee, H. H. (2024). Harnessing the power of radiotherapy for lung cancer: a narrative review of the evolving role of magnetic resonance imaging guidance. Cancers, 16(15), 2710. Keywords: MRgRT, dual MR/CT simulation, DIR Digital Poster Highlight 1466 From retrospective audits to real-time action: operational dashboards for workflow optimization in radiation oncology Alon Witztum, Minsong Cao, Emily Y Hirata, Catherine Park, Nicolas D Prionas Department of Radiation Oncology, University of California San Francisco, San Francisco, USA Purpose/Objective: Many radiation oncology departments want to leverage routine clinical data to improve timeliness, safety, and throughput, yet lack a practical blueprint. We implemented a generalizable, vendor-agnostic program of real-time dashboards and scheduled feedback that converts OIS/EHR signals into actionable operational insights and lightweight automation for everyday decision-making. This enables improved workflow visibility, performance benchmarking, and timely intervention to enhance quality and efficiency in radiation oncology. Our objective was to identify workflow bottlenecks, support timely clinical task completion, and enable faster Plan-Do-Study-Act (PDSA) improvement cycles. Material/Methods: SQL connections to electronic clinical systems were used to define a concise set of workflow metrics spanning contouring, planning, quality assurance, and treatment and imaging approvals. Role-specific dashboards were developed for physicians, dosimetry, physics, and therapists, displaying completion trends by date, provider, and clinical urgency. Monthly reports benchmarked individuals against anonymized peers and groups. Leadership used these insights to prioritize bottlenecks and staffing needs. An automated monthly contouring report was also generated for each physician summarizing their contour timeliness, comparison with anonymized peers, and descriptive statistics of turnaround times. Additional dashboards supported accreditation
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