Welcome to Global perspectives on digital health.
A series of conversations where we get a unique perspective on the challenges and stories of deploying AI in clinical settings in Lower and Middle Income Countries (LMICs), and what we can learn from them in the EU, USA and UK.
In this first episode we hear from AI ethics, evaluation and regulation titan Dr Xiao Liu about one of the most important challenges we collectively face on responsible AI.
We get expert insights on:
- How we define Health data poverty
- Why this is relevant for the US/EU/UK.
Resource: this paper in the Lancet that Xiao was part of writing back in 2021.
- Some examples of health data poverty
- What were the recommendations. Where does Xiao think we're at right now?
- Seems like a whole of society/whole of healthcare ecosystem problem. How do we think about this across a healthcare journey, ecosystem or data lifecycle?
How can we contribute in an effective, joined up way?
The perfect lead in to Part 2 where we will hear an example of real action on this topic in Brasil.
