This is the third meeting in our Technology, Innovation and Global Health Series.
Artificial intelligence (AI) has the potential to fundamentally transform the way that healthcare is provided in low and middle income (LMICs) countries, improving delivery, access and cost effectiveness.
This meeting will explore intersection between artificial intelligence and health care provision in LMICs. It will consider the role of AI in helping countries achieve the health Sustainable Development Goals (SDGs) and Universal Health Coverage (UHC) as well as its potential in the prevention of and response to global health pandemics. The meeting will explore the potential of AI to address specific challenges to delivering health care in LMICs, including reaching those living in rural or hard to reach areas and vulnerable populations (such as refugees and displaced persons).
AI presents possibilities for virtual diagnostics, remote care from virtual health workers, and online training to plug gaps in professional development as well as providing opportunities for people to keep track of their own health and the health of their families. It offers governments the opportunity to more effectively track for disease and potential health shocks and therefore has a role to play in global health security.
In addition to the opportunities AI offers, there are also challenges in terms of safety and trustworthiness of AI technologies, issues of equity, access and fairness; broader intentional as well as inadvertent influences of AI and potential risks.
The ethical concerns that arise from the growth in AI in health care will also be considered, including the potential for it to become the preserve of those able to afford private health care. In addition, the projected speed of availability of AI in LMICs could create a disconnect between diagnostic improvements and the availability of health care expertise to meet greater demand for treatment and care. There are also issues related to confidentiality and data security, and the policies needed to ensure data is not misused.
This meeting will bring together experts in AI, leaders in global health policy and delivery from a range of countries to explore these issues these through round-table dialogue.
Goal and objectives
- Consider the potential for AI to improve healthcare and health outcomes in LMICs
- Assess the current healthcare challenges in LMICs and how they can be addressed by the integration of AI into provision and delivery
- Develop a deeper understanding of the ethical challenges that will face healthcare providers as they increasingly use AI to augment their services
- Progress thinking on ethical frameworks and governance of AI technology in healthcare
- Explore concrete next steps to develop principles for AI in global health that can be shared widely within the global health policy community to help develop international policy making in this new field