Submission ID 117821
| Issue/Objective | Global health faces critical challenges in equitable healthcare access, cold chain integrity, and last-mile medical delivery, especially in remote and off-grid communities. The convergence of innovation, technology, and artificial intelligence (AI) presents unprecedented opportunities to bridge these gaps. |
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| Methodology/Approach | This presentation explores how localized innovation and AI-driven solutions are transforming healthcare delivery in underserved regions. Drawing from the experience of Drop Access, a Kenyan-based social enterprise pioneering solar-powered, IoT-enabled cold chain solutions, we highlight how real-time monitoring, predictive analytics, and smart inventory management improve vaccine and medicine distribution. |
| Results | Additionally, AI-driven insights optimize cold chain logistics, ensuring the potency of temperature-sensitive medical supplies, reducing waste, and enhancing last-mile delivery. The integration of AI with renewable energy technologies also fosters climate-resilient healthcare systems, reducing dependency on fossil fuels. |
| Discussion/Conclusion | The session will discuss practical applications, challenges, and policy recommendations to accelerate the adoption of homegrown, technology-driven solutions in global health. By leveraging innovation, technology, and AI, we can reshape health systems for resilience, sustainability, and inclusivity, ensuring no community is left behind. |
| Presenters and affiliations | Norah Magero Drop Access Limited James Mulatya Drop Access Limited |
