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Health Data Poverty Part 1 with Xiao Liu
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Welcome to Global Perspectives on Digital Health, a podcast series dedicated to exploring the use of digital health in underserved communities around the world). Each episode unpacks unique insights into the challenges and successes of implementing digital tools and how we can bring this back to our own efforts.
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Episode 1: Health data poverty : what can we do about it?
Join us as we dive into a crucial conversation with Dr. Xiao Liu, a leading figure in AI ethics, evaluation, and regulation. This episode focuses on one of the most pressing issues in the field: health data poverty
Key Topics:
- Defining Health Data Poverty: What it means and why it matters for global health.
- Relevance to Developed Nations: Understanding the implications for the US, EU, and UK.
- In-Depth Analysis: Discussing a 2021 Lancet paper co-authored by Dr. Liu.
- Real-world Examples: Exploring instances of health data poverty and its impacts.
- Expert Recommendations: Dr. Liu shares her views on current progress and the steps ahead.
- Broader Implications: How can society and the healthcare ecosystem address these challenges comprehensively?
Looking Ahead:
Stay tuned for Part 2, where we will showcase implemented initiatives addressing these issues in Brazil.
Resources:
7 episodes
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