From Vision to Value: Project Development, Proformas, KPIs, and Data-Driven Leadership in Radiation Oncology
Description
Radiation oncology leaders are increasingly asked to convert strategic ideas into funded, well-run programs that measurably improve quality, access, and financial performance. This symposium delivers a pragmatic, end-to-end playbook led by three complementary perspectives. Dr. Lalith Kumaraswamy outlines how to scope initiatives, align stakeholders, and build credible capital and operating requests—translating clinical need into defensible proformas, expense projections, sensitivity testing, and ROI/NPV analyses that withstand executive scrutiny. Dr. Dan Bailey focuses on execution at scale across multi-site programs: governance structures, resourcing, vendor integration, and the operational KPI stack (safety, throughput, on-time starts, downtime/opportunity cost, contribution margin) that sustains results after go-live. Dr. Mohammad Bakhtiari demonstrates how process mining and conformance analytics convert EMR/TPS event logs into actionable leadership intelligence—revealing bottlenecks, quantifying before/after impact, and linking workflow changes to clinical and financial outcomes. The session closes the loop from vision to value: initiating the right projects, winning investment, delivering reliably, and continuously optimizing with data. Attendees will leave with practical templates (proforma skeleton, KPI scorecard, executive one-pager) and a clear method to defend capital, steer implementation, and verify returns using quality and efficiency metrics. By uniting finance, operations, and data science, this symposium advances the profession’s leadership role and equips physicists to champion sustainable innovation within their institutions. Content is vendor-neutral and aligned with TG-100 risk-informed change management, demonstrating how to pair governance with incident learning and checklisting to maintain safety during adoption. Emphasis on equitable access, workforce development, and reproducible methods ensures relevance across academic, community, and multi-vendor environments worldwide.