Health data poverty and equitable digital healthcare

This week, Elina is joined by Dominique Airey, Partnerships Director at Feebris, to discuss a recent paper published by The Lancet, titled 'Health data poverty: an assailable barrier to equitable digital healthcare.' 

Can digital health technologies transform healthcare and provide everyone, everywhere with equitable access to expert-level care? Can they narrow the global health and wellbeing gap? Or is it highly possible that these transformative technologies could exacerbate existing healthcare inequalities instead?

Health data poverty is the inability for individuals, groups or populations to benefit from a discovery or innovation due to a scarcity of data that are adequately representative. Is this lack of representation a threat to global health? How do we ensure that nobody gets left behind in the digital era?

To find out more about Elina's work, visit www.feebris.com

Om Podcasten

AI presents major areas of ethical concern for society, including privacy, surveillance, bias, discrimination, the role of human judgment and more. Ethical AI explores these topics through conversations with the world's leading technologists, academics, entrepreneurs and policy-makers to find out how they see our future with ethical AI. Your host, Elina Naydenova is a biomedical & AI engineer with a PhD in Machine Learning for Healthcare Innovation from Oxford University. She is also the CEO & co-founder of Feebris – a next-generation remote monitoring company. www.feebris.com