Description: The last three decades have witnessed an important rise in number of people with diabetes in Asia, especially Type 2 Diabetes. Like no other common condition, numerous innovations are currently entering the healthcare system that will soon have a significant impact on management of the condition. This presentation explores the role played by sensors/wearables, artificial intelligence, new drugs and diabetes apps. We assess the realistic potential of such advancements and give an outlook on medium-term pricing and product development.

Description: This session describes the process payers and employers can use to evaluate emerging medical device technologies, recent or pending FDA submissions for prescription drugs and experimental treatments that impact patient care, resource utilization and health care expenditures. We will walk through the process of identifying and selecting impactful treatments (Horizon Scanning) and quantifying the financial cost of new technologies before they arrive in the market. These workflows can be leveraged by actuaries, healthcare economists, clinicians and pharmacists from a payer (Commercial and Medicare) and employer perspective for self-funded plans. We will also walk through some sample models that illustrate how costs for emerging technologies and treatments can be modeled.

Description: In the evolving realm of healthcare actuarial practice, value-based contracts are reshaping the landscape. This article explores the pivotal role of AI-enhanced Electronic Medical Records (EMRs) in empowering actuaries to navigate this dynamic sector. Despite challenges in data standardization, AI-enhanced EMRs offer a solution by extracting and standardizing diverse medical records. The article delineates how AI-EMR integration benefits actuaries and provider organizations, enabling more accurate forecasting, earlier shared savings prepayments, and real-time quality metric aggregation. Moreover, it discusses how this fusion addresses historical data limitations, can help project catastrophic claims, and can help identify risk score capture opportunities. Ultimately, it indicates the transformative potential of AI-EMR synergy, positioning actuaries at the forefront of healthcare analytics with unprecedented precision and insight.