Title

AWS re:Invent 2022 - Engaging Priority Communities in Population Health Campaigns (DEI208)

Summary

• Speakers: Heather Nelson (Senior Manager at Deloitte Consulting, leading health equity business) and Nate Bechtel (Healthcare leader on AWS communication services team).
• Main Themes: Health equity, equity-centered design, scalable technology, and the case study of the CHIPPER program in New Zealand.
• Case Study: CHIPPER (Consumer Population Identification and Registration Service) in New Zealand aimed to raise vaccination rates among priority populations, particularly the Maori and Pacific Islander communities.
• Health Equity: Defined as the ability to fulfill human potential in all health aspects by addressing structural racism, flaws in the health system, and non-medical drivers of health.
• Equity-Centered Design: Prioritizes lived experience, co-design with communities, and acknowledges systemic oppression.
• CHIPPER's Impact: Improved vaccination rates and health outcomes through personalized, culturally sensitive campaigns.
• Technology: AWS tools like Kinesis, AppFlow, S3, Glue, Lambda, QuickSight, Comprehend, Medical Comprehend, Lex, and Pinpoint were used to integrate data, analyze, and execute personalized health campaigns.
• Key Takeaways: Importance of local, tailored communication, diverse teams, intentional bias mitigation, and measuring impact for health equity.

Insights

• Equity-Centered Design vs. Human-Centered Design: The shift from human-centered to equity-centered design is crucial for addressing the unique needs and experiences of marginalized communities, ensuring that solutions are not only effective but also fair and inclusive.
• Scalable Technology for Health Equity: The use of AWS technology demonstrates how scalable cloud-based solutions can be leveraged to address public health challenges and improve health equity on a national scale.
• Cultural Sensitivity in Health Campaigns: The success of CHIPPER underscores the importance of culturally sensitive messaging and the engagement of local communities in health campaigns, leading to better health outcomes.
• Data Integration and Personalization: The integration of various data sources and the use of AI and machine learning for personalization in health campaigns can significantly improve engagement and effectiveness.
• Impact of Diverse Teams: The diversity of the team behind CHIPPER was fundamental to its success, highlighting the value of diverse perspectives and experiences in creating solutions that serve all populations equitably.
• Challenges of Digital Divide: While digital technology can transform care delivery, organizations must be vigilant about the potential for widening the digital divide and ensure that solutions are accessible to all, including those with limited digital literacy or access.
• Global Relevance: Although the CHIPPER case study is specific to New Zealand, the principles and strategies discussed have global relevance and can be applied to address health disparities in various contexts.