Carol Kamasaka
Senior Program Officer - Digital Health, PATH Uganda
Ms. Carol Kamasaka is a highly accomplished digital health specialist, with over a decade of expertise in spearheading the design, planning, implementation, and evaluation of digital health interventions across Uganda and various countries in sub-Saharan Africa. She has collaborated with Global Fund, USAID, Rockefeller Foundation, WHO, UNICEF, CDC, and the Gates Foundation to design and deploy tailored digital health solutions at national and sub national levels.
She is the Senior Program Officer-Digital Health at PATH Uganda, and serves as the President of the Uganda Health Informatics Association
Ms. Kamasaka holds a Bachelor's degree in Information Technology and a Master's degree in Health Informatics, both earned from Makerere University in Uganda. With her unwavering dedication to advancing digital health solutions, Ms. Carolyn Kamasaka continues to drive positive change in healthcare systems, ensuring the effective utilization of technology for improved outcomes and equitable access to healthcare across communities.
All Sessions by Carol Kamasaka
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.