Events

Behind the Scenes of International Emergency Medical Assistance (IEMA) offers insurance professionals a rare, end-to-end view of how local and overseas medical emergencies are managed in real life — from the first distress call to case closure. This programme demystifies the complex IEMA ecosystem by walking
participants through actual workflows involving TPAs, insurers, medical providers, and aeromedical partners.​

Rising medication costs are no longer cyclical — they are structural.

Across ASEAN, healthcare inflation continues to outpace general inflation, with pharmaceutical spending emerging as one of the most volatile components. While many organisations focus on negotiating better drug prices, evidence consistently shows that prescribing behaviour, utilisation oversight and governance discipline are equally critical in determining long-term sustainability.

This programme provides a structured and practical understanding of Pharmacy Benefit Management (PBM) — not merely as a pricing tool, but as a system for influencing prescribing patterns, managing utilisation and ensuring sustainable healthcare financing.

This session is designed to move beyond theory and into practical execution.

Artificial Intelligence is transforming how insurers underwrite risks, manage claims, detect fraud and serve customers. As this technology becomes more widely adopted, Boards must understand both its potential and its risks. This programme brings together Cisco’s practical AI expertise, BNM’s regulatory guidance, and real industry experience from a CISO to help Board members make informed decisions.

Participants will learn how AI can support business growth, what risks need to be managed, and what controls, tools and governance practices should be in place. The programme also explains the key areas of RMiT that Boards must pay attention to when overseeing AI initiatives. Designed for senior leaders, this session provides a clear and balanced view of how to adopt AI responsibly while strengthening resilience and meeting regulatory expectations.