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Summary of IQVIA Institute Patient Advocacy Summit - December 1, 2021

Core Content

The IQVIA Institute Patient Advocacy Summit, held on December 1, 2021, explored the evolving role of patient advocacy organizations (PAOs) in healthcare transformation. The summit emphasized the shift from traditional drug development to patient-driven innovation, highlighting the importance of PAOs as trusted conveners and key players in shaping policy, research, and data initiatives.

Main Themes and Key Takeaways

1. Policy and Regulatory Landscape

• Shared Infrastructure: There is a need for a shared infrastructure to enhance the influence of PAOs in regulatory and policy changes.
• 21st Century Cures Act: This legislation accelerates medical product development and includes provisions for patient input in clinical trials and regulatory processes.
• PDUFA VII: Supports patient-focused drug development and the use of real-world evidence.
• Challenges: Ensuring patient voices are effectively translated into actionable change and maintaining transparency and access to data.

2. Patient-Centered Research and Drug Development

• Role of PAOs: PAOs are pivotal in funding and driving research, especially in rare diseases.
• Examples:
  • A PAO funded a trial for personalized medicine in rare cancers.
  • Another PAO identified potential drug efficacy in NF-1 and facilitated its development.
• Collaboration: Working with pharma and biotech to align on patient-centric drug development.
• FDA Engagement: The FDA is open to patient input, and PAOs can influence protocol design and clinical workflows.

3. AI in Healthcare: Ethical and Practical Considerations

• Humanizing AI: Ensuring AI is designed and applied with patient needs and values at the center.
• Data Representation: Using representative datasets to train AI models for real-world applicability.
• Bias Assessment: Addressing both data and algorithmic bias, with ethical disclosure and correction.
• Patient Engagement: Involving patients in AI development and application to ensure relevance and trust.

4. Learning Health Systems and Registries

• Registries as Tools: They support data collection, evidence generation, and patient empowerment.
• Challenges:
  • Building sustainable and interoperable data systems.
  • Ensuring data governance and standardization.
• Future Role: Registries are evolving into dynamic learning health systems, facilitating better research and clinical outcomes.

5. Operational Challenges in Patient Data Initiatives

• Data Access and Governance: Navigating regulatory, legal, and technical constraints when linking datasets.
• Sustainability: Clarifying how to fund and maintain data initiatives.
• Community Engagement: Balancing high-tech digital tools with high-touch personal interactions to maintain patient connection.

6. Diversity in Real-World Research

• Importance of Diversity: Ensuring clinical trials reflect the diversity of the patient population to improve safety and efficacy.
• Challenges: Reaching underrepresented communities and understanding their unique needs.
• Best Practices: Listening to patients, being intentional, and developing culturally sensitive outreach strategies.

7. Building and Mobilizing Patient Communities

• Community Engagement: Finding, connecting, and engaging patients and caregivers is essential for effective advocacy.
• Digital Tools: Leveraging technology to understand community needs and enhance patient support.
• Personalization: Tailoring engagement strategies to individual patient needs and maintaining emotional connections.

8. Sustainability and Data Monetization

• Monetization Strategy: Developing data assets and monetization pathways to support financial sustainability.
• Registry Monetization: Seen as a way to accelerate mission goals and is becoming more accepted in the industry.
• Collaboration: Strategic partnerships with industry and other organizations can help monetize data while maintaining ethical standards.

Key Information

• Involvement of Patients: PAOs are increasingly involved in all stages of drug development, from discovery to commercialization.
• Data Utilization: Data is a critical asset for PAOs, enabling research, advocacy, and policy influence.
• Ethical Considerations: Privacy, informed consent, and transparency are central to ethical AI and data use.
• Community Focus: Maintaining a patient-centered approach is vital, especially as organizations grow and scale.

Conclusion

The summit highlighted the transformative potential of patient advocacy organizations in driving healthcare innovation and equity. With the right strategies, partnerships, and ethical frameworks, PAOs can play a central role in shaping the future of healthcare through patient-driven research and data initiatives.