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Postapproval Methods to Capture Safety and Efficacy Data for Cell and Gene Therapy Products

Course Overview and Objectives for Clinical Trial Clinicians, Regulatory Affairs Staff, Marketing, QA & QC, Manufacturing, and Validation Groups

Draft Guidance for Industry

Introduction to Postapproval Safety and Efficacy Data Expectations for Cell and Gene Therapy Products

Background: Regulatory Context, Benefit-Risk, and Long-Term Follow-Up for Cell and Gene Therapy Products

Contains Nonbinding Recommendations

Methods and Approaches for Capturing Postapproval Data: Strategy and Study Design Considerations

Use of Real-World Data and Real-World Evidence to Evaluate Safety and Efficacy in Cell and Gene Therapy Products

Leveraging Electronic Health Records, Medical Claims, and Vital Statistics Data for Postapproval Surveillance

Establishing and Utilizing Registries to Capture Long-Term Outcomes and Rare Adverse Events

Decentralized Data Collection: Remote Monitoring, ePROs, and Digital Health Technologies

Knowledge Checks

Quiz: Foundations of Postapproval Data Capture in Cell and Gene Therapy Products

Quiz: Regulatory Background and Long-Term Follow-Up Considerations

Quiz: Designing Postapproval Evidence Generation Strategies

Quiz: Applying Real-World Data, EHRs/Claims, and Vital Statistics

Quiz: Registries and Decentralized Data Collection Best Practices

References and Feedback

References for Postapproval Methods and Evidence Standards

Course Feedback Survey: Relevance and Applicability to Clinical Trial Clinicians, Regulatory Affairs Staff, Marketing, QA & QC, Manufacturing, and Validation Groups

Post-Approval Strategies for Capturing Cell and Gene Therapy Outcomes is a practical, cross-functional course designed to help biopharma teams plan, execute, and optimize postmarketing evidence generation for advanced therapies. As regulators increasingly expect robust long-term safety and effectiveness data, sponsors must integrate real-world data (RWD), registries, and decentralized technologies to capture outcomes beyond clinical trials. This course translates draft guidance and industry best practices into actionable frameworks that align clinical, regulatory, quality, manufacturing, validation, and commercial stakeholders around a unified postapproval strategy. You’ll learn how to design data capture programs that meet benefit–risk monitoring needs, leverage EHRs and claims, operationalize registries for rare events and long-term follow-up, and deploy ePROs and remote monitoring to reduce site burden and increase data completeness. By the end, you’ll be equipped to select fit‑for‑purpose methods, strengthen evidence quality, and accelerate label expansions, payer acceptance, and patient access while maintaining compliance. Ideal for teams preparing for approval or managing marketed cell and gene therapy products, this course provides templates, decision trees, and knowledge checks to ensure you can confidently build and defend a postapproval evidence plan.

Post-Approval Strategies for Capturing Cell and Gene Therapy Outcomes

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            <p>Cell and gene therapy products are redefining standards of care, yet achieving durable success requires rigorous, coordinated strategies to capture outcomes after marketing authorization. This course provides a structured framework for postapproval evidence generation that aligns scientific rigor with regulatory expectations and operational feasibility. Drawing on current draft guidance and nonbinding recommendations, participants will examine the methods, data sources, and study designs needed to evaluate long-term safety, effectiveness, and benefit-risk in real-world settings. The curriculum is tailored to the functional needs of clinical trial clinicians, regulatory affairs staff, marketing teams, QA and QC professionals, manufacturing specialists, and validation groups—emphasizing cross-functional accountability for data quality, compliance, and impact on patient care and product lifecycle management.</p>

<p>The program begins with a role-specific overview of objectives and stakeholder responsibilities, then situates postapproval data capture within the broader regulatory context, including risk-based approaches and long-term follow-up requirements relevant to cell and gene therapies. It progresses to methodological foundations for postapproval study design, with a dedicated focus on the use of real-world data and real-world evidence, as well as practical approaches for leveraging electronic health records, medical claims, and vital statistics to meet evidence standards. Participants will explore the design and operation of registries to capture rare adverse events and long-term outcomes, and assess decentralized data collection modalities—including remote monitoring, electronic patient-reported outcomes, and digital health technologies—for efficiency, patient-centricity, and data integrity. Knowledge checks throughout the course reinforce mastery of regulatory principles, methodological rigor, and operational best practices, while reference materials and a closing feedback module support continuous improvement and applicability across clinical, regulatory, quality, manufacturing, and validation environments.</p>
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