Time of Event
4 August, 09:00–14:10
5 August, 09:00–16:00
6 August, 08:45–15:15
7 August, 09:00–15:30
8 August, 09:00–15:15
Summary
Artificial intelligence (AI) is becoming more salient in the healthcare sector, optimizing workflows, enhancing efficiency, enabling a shift into proactive care, and reducing costs. To promote knowledge on the multifaceted issues on AI in healthcare, ADBI, the Asian Development Bank (ADB), the International Cooperation and Development Fund (ICDF), and the Japan International Cooperation Agency (JICA) are co-organizing a 5-day training workshop to explore the transformative role of AI in the healthcare ecosystem.
However, there are various considerations in adopting AI. The first concerns data security and making sure that consumer privacy is protected. Another is ensuring data transparency and integrity while scaling up AI’s impact. Building a skilled workforce is also important. Having people who are willing to adopt new technologies and develop AI expertise is crucial because they can drive the transformation process.
To integrate AI into health systems, governments must address three key areas: infrastructure, governance, and financing. This includes ensuring robust digital connectivity and providing essential physical assets, such as computers, medical equipment, and data centers. Moreover, since AI utilizes personal data, it is vulnerable to breaches and fraud. Stricter rules on sharing information and data security are essential.
This event brings together healthcare professionals, technologists, policymakers, and innovators to delve into the latest advancements, applications, financing, and ethical considerations of AI in health. Participants will gain a comprehensive understanding of how AI is reshaping healthcare delivery, diagnostics, and public health.
Objectives
- Exchanging knowledge and insights. Facilitating the exchange of information on the emerging intersection between AI and health, including in public health monitoring and diagnostics, personalized and telemedicine, and healthcare administration.
- Building a community of practice across health stakeholders. Bringing together a multistakeholder network of government officials, international policymakers, private sector practitioners, and academic experts to discuss the implications of AI across healthcare sectors, policy areas, disciplinary boundaries, and levels of governance.
- Informing policymakers on the diversity of AI applications in healthcare. Throughout 5 days of interactive roundtables and site visits, participants will be invited to explore AI in healthcare, its applications in underlying systems, the interplay between digitalization and financing, ethical and equity considerations, and specific, diverse country approaches.
- Strengthening the evidential foundation for policymaking. Stimulating discussions on existing good practices and transferrable lessons from the 16 countries that have adopted governance frameworks to manage AI across Asia and the Pacific, and the policy-related challenges and opportunities associated with AI adoption.
Target Participants
- Mid-to-senior-level officials from health ministries
- Senior officials from disaster management agencies in charge of monitoring health risks and epidemics
- Senior city officials in charge of health emergency response (including for elderly care)
- Practitioners from the private sector and academia working on AI integration in healthcare
Output
- Four-day in-person workshop plus 1-day site visit to see firsthand the contributions of the private sector in Japan through the development of innovative equipment and technologies (e.g., mobile hospitals)
- Shared knowledge on the utilization of AI in healthcare and the promotion of wider AI usage in the healthcare industry among government officials and experts from DMCs
How to Register
By invitation or prior arrangement with ADBI
Partners
- Asian Development Bank
- International Cooperation and Development Fund
- Japan International Cooperation Agency
- In collaboration with: Yokohama Urban Solution Alliance