Center for Health Optimization & Implementation Research

Shared Decision Making for Precision Oncology

Precision Oncology is a rapidly evolving field that leverages the integrated analysis of multiple types of data (e.g., genomics, radiomics, artificial intelligence and machine learning algorithms) to personalize care at all points on the cancer control continuum, from prevention through survivorship. While the goal of Precision Oncology is to deliver the “right care to the right patient at the right time,” this cannot be achieved without shared decision making to determine what the right care is for an individual Veteran.

This impact goal will develop integrated, implementation-science informed approaches for Precision Oncology shared decision making that:

• Reflect Veterans’ preferences, values, and goals;
• Attend to VA clinicians’ needs and workflow;
• Are responsive to organizational context.

Associated publications:

• Navigating the uncertainty of precision cancer screening: The role of shared decision-making, PEC Innov
• Health-literate care organizations for precision health, Genet Med
• Stakeholder Research Priorities to Promote Implementation of Shared Decision-Making for Lung Cancer Screening: An American Thoracic Society and Veterans Affairs Health Services Research and Development Statement, Am J Respir Crit Care Med
• The Development and Performance of Alternative Criteria for Lung Cancer Screening, Ann Intern Med
• Prediction-Augmented Shared Decision-Making and Lung Cancer Screening Uptake, JAMA Netw Open

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