Description: At the conclusion of the session, attendees will be able to understand the potential for using global population health mortality and morbidity data in actuarial contexts. Using the Global Burden of Disease project as a resource, this session will discuss how novel population health research can be used to complement and fill in the gaps of existing input data sources for actuarial analysis and modeling. Presenters will share the latest academic research on the topics of demography, life expectancy, health-adjusted life expectancy, causes of death and disability, comprehensive disease incidence and prevalence metric, measures of disease burden for patients and populations, modifiable risk factors where there are opportunities to make interventions and improve health outcomes, and disparities between and within populations. This research is globally comprehensive and comparable between different markets and disease areas. The session will cover the motivation and purpose of GBD, a brief description of the models used, and dive deep on some selected use cases in actuarial contexts. Audiences will leave with: 1. Understanding challenges and opportunities in measuring disease burden comprehensively and consistently 2. Understanding relevant health metrics, including the drivers of future mortality and morbidity 3. Ideas for applications of epidemiological research in your work

Description: Mortality Improvement is fundamental to setting your mortality assumptions. Creating your own Mortality Improvement assumption may seem like a Herculean task. The truth is creating a mortality improvement assumption with tools provided by the SOA, or the Continuous Mortality Investigation (CMI) make the process easy. Leaving you with the Herculean task of deciding if the assumption you created fits your product. Expect to learn about the CMI tool and the SOA's Mortality Improvement Model (MIM) tool, how you might get data to use in those tools, and what assumptions you need to make outside of data like what will the MI be in 20 or 30 years? Whether it is the general population, a segment of the general population, or certain causes of death, you will get very different answers.