In this episode, Shubs Upadhyay interviews Bilal Mateen, Executive Director of Digital Square at PATH about digital health challenges and successes in underserved communities.
They explore the importance of safety, regulatory considerations, and the need for inclusive data sets and data infrastructure. The discussion also covers the role of community health workers and the impact of AI and large language models in healthcare.
Chapters:
00:00 Introduction and Background
05:06 Digital Public Goods
07:04 How Health Data Poverty Plays Out
08:59 Reaching the Last Mile of Healthcare
15:47 AI and Large Language Models in Healthcare
29:00 Investing in Data Science Ecosystems and Regulatory Frameworks
32:59 More Global Representation in Regulation
37:03 Considering Local Nuances in AI Deployment
39:12 Divergent Approaches to Regulating LLMs
45:28 Regulation of LLMs as Medical Devices
48:40 Recommendations to Innovators about Healthcare Regulation
Links:
AMIE paper by Alan Karthikesalingam:
Digitalsquare.org
Auderenow.rg
viamo.io
Music by Yurii Semchyshyn from Pixabay
Global Perspectives on Digital Health website : stay update, subscribe, get transcripts
Keywords
digital health, underserved communities, safety, regulatory considerations, inclusive data sets, impact, last mile of healthcare, community health workers, AI, large language models, cost effectiveness, safety, environments, sandboxes, health equity, regulatory representation, local context, regulation, large language models, LLMs, medical devices, innovation, clinicians, complexity, regulatory process
