ISSUE: The past decade has seen unprecedented pharmacological breakthroughs in oncology. Nevertheless, the high costs of these medications have placed considerable financial pressures on both the U.S. healthcare system and patients. Recognition that costs and value should be important considerations in cancer treatment discussions has led several U.S. clinical organizations including the American Society of Clinical Oncology and the National Comprehensive Cancer Network to develop value frameworks. Such efforts to inform shared patient/physician decision making are laudable but have attracted a variety of criticisms, including being insufficiently patient-centered. OVERVIEW: This panel will debate the need for patient-centered value frameworks to support shared patient/physician decision-making surrounding cancer treatments and discuss the challenges and potential solutions for creating such tools. Jalpa Doshi will moderate the panel, providing an overview of the current landscape and posing key questions for the panelists to debate: What do current frameworks capture and why do we need a more patient-centered framework? How do definitions of value vary both within and between key stakeholder groups? What is important to patients, and how can we develop and implement a decision tool that truly meets the goals and priorities of individuals in daily clinical practice? Can we agree on a scoring approach to help inform decision-making based on the various factors? Henry Glick will discuss challenges in designing a patient-centered value framework, including addressing tensions between the societal and patient perspective. Ellen Miller Sonet will represent patient perspectives, offering insights from patient-centered research conducted by CancerCare. She will highlight factors important to cancer patients and approaches to collecting such information in clinical practice to support a customized patient-centered decision tool. Charles Phelps will argue that methods such as multi-criteria decision analysis can be used to develop a scoring approach to inform shared decision-making using a customized tool.