Conclusion This report was created to focus the attention of the public and private sectors on those use cases for AI with the largest potential to transform public health and healthcare and improve patient health outcomes. The world already has the technology to do so. While data gaps certainly exist, leaders can’t wait for the perfect data foundation to be in place but rather should work now to start building the coalitions needed to make the transformation possible. Some will continue experimenting, leading to incremental improvements, which are always needed. However, for the vast majority of those in healthcare, government and NGOs, the focus should be on building scale in the real world. Without scale, far fewer patients will benefit from AI’s transformative potential. The agenda should be clear to all stakeholders in the complicated healthcare ecosystem: choose a few use cases, select the partners whose capabilities and access complement your own, and bring single-minded focus to removing the barriers impeding the widespread adoption of AI tools in healthcare. The future depends on it. Scaling Smart Solutions with AI in Health: Unlocking Impact on High-Potential Use Cases 32
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