Lauren Wall

Lauren Wall, Deputy Director of Capacity Strengthening, Center of Digital & Data Excellence, PATH

Lauren Wall

Deputy Director of Capacity Strengthening, Center of Digital & Data Excellence, PATH

Lauren's public health career spans 15 years of experience in designing and implementing training and technical assistance programs in the Americas, Africa, and Asia. In her current role as Deputy Director of Capacity Strengthening for PATH’s Center of Digital & Data Excellence, she oversees the design, implementation, and evaluation of digital health training programs.

She has overseen the design, implementation, and evaluation of multi-million-dollar technical assistance and training programs in malaria, immunization, child health, physical rehabilitation, and surgical and anesthesia care. Her clients have included USAID, UNICEF, governments,, GIZ, WHO, private foundations, and others.

Lauren holds a Master’s in Public Health in Maternal & Child Health from UNC Chapel Hill and is a doctoral student at the Johns Hopkins Bloomberg School of Public Health.

All Sessions by Lauren Wall

11:30 am - 1:00 pm

AI and Global Health: A workshop for Leaders Driving Change

AI has the potential to improve health outcomes, enhance health systems, and address health inequities. Its integration into Global Health presents opportunities to improve disease diagnosis, treatment, and surveillance.

However, AI also poses significant challenges and risks, such as ethical, legal, social, and technical issues, that need to be carefully considered and addressed by health leaders.

Global health leaders, who are responsible for setting health policies, strategies, and priorities at the programmatic, regional and global levels, need to have an understanding of AI and its implications for health.

By the end of the workshop, the participants are expected to:
- Define AI and its subfields, and how they relate to health.
- Describe current initiatives and AI for health activities in the global health space.
- Explain some of the current and emerging use cases of AI for health, and their benefits and limitations.
- Summarize issues specific to gender and data and other key challenges and risks of AI for health, and how to address them.
- Articulate some of the best practices and principles for ensuring that AI for health is responsible, ethical, and human-centered.
- Communicate and collaborate with various stakeholders on AI for health issues and initiatives.

The workshop will be facilitated by a team of experts from various disciplines and backgrounds, such as AI, digital health, ethics, policy, and education. The facilitators will provide relevant and up-to-date information, insights, and guidance on AI for health, and will also encourage active participation and feedback aligned with feminist pedagogies.