Many healthcare organizations still rely on arbitrary age thresholds or reactive decisions for equipment replacement, even as financial leaders demand defensible, data-driven capital justification. This interactive session introduces a comprehensive framework that uses reliability data, financial analysis, regulatory requirements, and stakeholder input to forecast optimal replacement timing beyond manufacturer-recommended lifecycles. Through real-world case studies and practical tools, attendees will learn how to build compliant, multi-year replacement plans that balance patient safety, clinical needs, cybersecurity risk, and financial accountability.