Global Perspectives on Digital Health Shubs Upadhyay

Podcast Title: Global Perspectives on Digital HealthEpisode Title: Impact of LLMs in HIV and Rapid Diagnostic TestsGuest: Dino Rech, CEO at Audere
Introduction:In this episode, Dino, a pioneer in the digital health landscape, shares his insights on how digital solutions and AI are revolutionizing the healthcare industry. He discusses the critical challenges such as overcrowded healthcare facilities and the urgent need for support for healthcare professionals. Dino’s extensive work at Audere focuses on utilizing digital tools to improve healthcare delivery and outcomes, particularly in underserved communities.
Key Topics Discussed:
Digital Solutions for Overcrowded Healthcare Facilities: Dino explores how digital health can alleviate pressure on healthcare systems.AI Tools in Healthcare: The role of AI and language models in enhancing diagnostic and conversational capabilities in healthcare settings.Building Trust and Reliability: The importance of trust in technology, especially large language models, and how it's achieved through rigorous data handling and prompt engineering.Partnerships and Local Collaboration: How forming strong local partnerships contributes to the successful implementation of technology solutions in healthcare.Regulatory Support and Technology Verification: The necessity of regulatory backing in ensuring the safety and efficacy of new technologies.Impactful Insights:
Improving access to rapid diagnostic testing through digital tools and AI.Enhancing patient-provider conversations with advanced language models to make healthcare more accessible and efficient.The significance of trust, reliability, and local partnerships in implementing successful digital health solutions.Utilization of specific data sets and prompt engineering to enhance the accuracy and relevance of responses from large language models.The role of specialization and niche focus in addressing particular healthcare and technology challenges.Links
Audere

Podcast Title: Global Perspectives on Digital HealthEpisode Title: Bridging the Gap: The Last Mile of HealthcareGuest: Bilal Mateen, Executive Director of Digital Square @ PATH
Summary: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.
Key Topics:
Digital Public Goods: Exploring how digital solutions can be accessible public goods.Health Data Poverty: Discussing how this issue affects global health equity.AI in Healthcare: Insights on the use of AI and large language models to improve healthcare outcomes.Chapters:
00:00 Introduction and Background05:06 Digital Public Goods07:04 How Health Data Poverty Plays Out08:59 Reaching the Last Mile of Healthcare15:47 AI and Large Language Models in Healthcare29:00 Investing in Data Science Ecosystems and Regulatory Frameworks32:59 More Global Representation in Regulation37:03 Considering Local Nuances in AI Deployment39:12 Divergent Approaches to Regulating LLMs45:28 Regulation of LLMs as Medical Devices48:40 Recommendations to Innovators about Healthcare RegulationLinks:
AMIE paper by Alan Karthikesalingam et alDigitalsquare.orgAudere WebsiteViamo Canada Call CentreSiontis et al Paper on Diagnostic test comparisons

Episode 2: Practical Solutions to Health Data Poverty
In this episode, we continue our exploration of health data poverty, showcasing a team that's making a real difference based on the issues discussed in Part 1 with Dr. Xiao Liu.
We're thrilled to have spoken with Prof. Alexandre Filho, a Professor of Machine Learning in Sao Paulo, Brazil. He shared insights on how his team has been maximizing the impact of data-driven technology in Brazil. Prof. Filho's remark, "The world is becoming more like Brazil," sets the stage for a discussion on what the global community can learn from Brazil's approach to data diversity, especially in serving underserved communities.
Key Topics:
Global Lessons from Local Successes: How Brazil's high-quality, diverse data sets serve as a model for the world.Overcoming Data Challenges: Tackling issues with data availability and the performance limitations of algorithms developed in affluent settings when deployed in rural areas.Leveraging Local Data: Details on the team's work, including a paper on neonatal mortality prediction using routinely collected data.Direct Benefits to Data Providers: Ensuring that those from whom data is collected see benefits from its use.Balancing Impact and Scalability: The trade-offs between highly tuned, local solutions and the need for scalable models that perform well across broader contexts.Benchmarking for Better Health: Extended efforts in the ITU/WHO focus group on AI for health, evaluating the performance of models across different LMIC settings.Advancing Local Impact: The use of transfer learning to enhance model performance and impact locally.Prof. Filho’s Recommendations: Key advice for innovators and implementers in the EU, US, and UK.Guest Bio:Alexandre Chiavegatto Filho is an Associate Professor of Machine Learning in Healthcare at the Department of Epidemiology, School of Public Health, University of São Paulo. He directs the Laboratory of Big Data and Predictive Analysis in Health (Labdaps), which includes a team of 30 researchers focused on developing AI algorithms to improve healthcare decisions.
Find the team's work on Google Scholar 

Welcome to "Global Perspectives on Digital Health," a podcast series dedicated to exploring the use of artificial intelligence in clinical settings across Lower and Middle Income Countries (LMICs). Each episode offers unique insights into the challenges and successes of AI deployment and what lessons can be drawn for the EU, USA, and UK.
Episode 1: Navigating the Ethical Terrain of AI in Healthcare with Dr. Xiao Liu
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: responsible AI.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 actual initiatives addressing these issues in Brazil.
Resources:
Standing Together Lancet article

Welcome to the trailer for the Global Perspectives on Digital Health Podcast. 
Join Shubs as he unpacks insights from experts and innovators creating real impact for underserved communities around the world. 
Shubs is a physician working in digital health. With experience across product development and deployment, regulation and also with the ITU/WHO focus group AI for healthcare as co-chair of the working group on clinical evaluation Shubs has seen the challenges across the digital and healthcare ecosystem. Join these conversations as he seeks out innovators and experts to unpack what we can do to create real impact for those who need innovation the most around the world. Get a truly global perspective on digital health.