Description: The rapid economic development of Asia has ushered in profound lifestyle changes, particularly in urban centers. Increased disposable income, urbanization, and the proliferation of convenient food services have contributed to dietary habits associated with elevated health risks. Among these, insulin resistance (IR)—a metabolic condition linked to diabetes, hypertension, and cardiovascular diseases—has emerged as a critical yet underrecognized threat. IR is also strongly associated with an increased risk of dementia, particularly Alzheimer's disease and vascular dementia. For life and health insurers operating in markets such as Greater China and Southeast Asia, traditional underwriting methods face significant challenges in accurately assessing these evolving risks. This article investigates the limitations of conventional approaches and explores the potential of continuous underwriting methodologies to better align risk assessment with dynamic lifestyle factors.

Description: The life insurance industry has experienced dramatic changes since the onset of COVID-19 in March 2020. Growing competition, a rise in online shopping, and the impact of COVID-19 have all led to an increase in contactless and completely digitized life insurance options. At Policygenius, we wanted to dig deeper into these big industry changes and better understand how they affect life insurance buyers. What our 2022 life insurance trend report found was a changing industry, making tremendous strides, and creating even better pricing and policy options for customers.

Description: New digital data known as alternative data is everywhere. Our industry has seen the financial, and hi-tech industries leverage new digital data to expand their key offerings and core services. From the lens of the global life and health industry, new digital data is still searching to be further understood. Risk assessment is a current focus area for using alternative data. A key question is even though risk assessment has always been data-driven, can it now move to the next level with the arrival of this alternative data. Can we use alternative data to make the risk assessment process quicker, cheaper, or faster thereby driving more sales and better conversion rates. It is an exciting time! With the increased adoption of health and well-being apps, data such as physical activity, nutrition, sleep, and mental wellness is now readily available. Expanded data such as digital biomarkers, IoT data, electronic health records and many more can also be accessed. However, how to effectively implement alternative data remains a challenge across the industry. We firmly believe it is, and will continue to be, imperative to take a structured approach to alternative data through a set of key considerations and a framework of principles.