Description: Critical Illness (CI) insurance in Asia has evolved through data-driven insights, adapting to changing medical, demographic, and lifestyle trends. Gen Re’s CI Data Insights Study, covering Mainland China, Hong Kong, Singapore, Malaysia, and Thailand, highlights how advances in screening, especially for cancers, have influenced incidence rates and claims. Regular updates to CI definitions and product structures are essential for sustainability, as seen in the handling of thyroid and prostate cancers. Lifestyle factors like BMI also impact cardiovascular risk. A multi-dimensional approach combining robust data monitoring, proactive product updates, and wellness promotion ensures CI insurance remains relevant and sustainable.

Description: This article is an update on the No Surprises Act, which is a U.S. Act aimed to reduce the risk that a person unexpectedly receives out of network charges for their health care visits.

Description: Discover the key components of value-based care (VBC) contracts and their impact on provider credibility. Learn about benchmarks, measurement period results, and the unique challenges providers face in managing insurance risk. Gain insights into reducing costs and aligning financial incentives in the US healthcare market.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: This three-part series provides an overview of the rapidly evolving and dynamic gene and cellular therapy landscape, from the clinical, historical, and risk transfer perspectives. It covers the actuarial considerations in pricing cell and gene insurance and reinsurance, the value assessment of the therapies, manufacturer pricing, and reinsurance cost.

Description: The Inflation Reduction Act represents the most significant changes to the Part D program since its inception 20 years ago. The implications will not only alter the benefits offered by Medicare Advantage (MAPD) and Prescription Drug Plans (PDP) but will alter the Part D cash flows and the seasonality of such amounts for interim reporting periods. In this session, we will provide a brief overview of the IRA changes and dive into how the changes could impact the 2008 Medicare Part D Accounting Practice Note.

Description: Explore a brief overview of federal income taxation of health insurers and selected technical tax topics during this panel discussion webcast. You'll dive into the evolution of heath insurers and healthcare-related services and the arising questions regarding their risk-bearing activities, as well as whether or not certain types of healthcare businesses qualify as "insurance companies" for federal income tax purposes. Also, expect to learn about loss reserves for guaranteed renewable contracts and how they can affect insurance company tax status. This webcast will continue to highlight how the IRS challenges loss reserves of health insurers as the panelists review the status of tax cases, IRS guidance and recent IRS activity regarding "margins."

Description: With the mandated health plan transparency files, health plans and providers are now able to substantially enhance their provider contracting efforts. Although the files are large and cumbersome they are market disruptors and provide new insights for provider contracting efforts. Explore a demonstration on the type of information now available and how it can be used to enhance this from both a health plan and health care provider perspective.

Description: This session will focus on long term disability insurance reserving practices. It will address current practices in calculating claim reserves and may include topics such as the following: Relevant Actuarial Guidelines, Studies used to evaluate claim termination experience and reserve margins, Estimation of future offsets, Mortality improvement

Description: Review a recently completed research project for a multi-stakeholder data consortium on social determinants of health (SDOH). In this project, claims, external SDOH data, geospatial analysis, and machine learning models were used to examine several questions: How to identify SDOH vulnerabilities? How sensitive are the findings with respect to provider coding pattern variations? How much variability in cost can be explained by SDOH vs. morbidity? What are the key risk drivers revealed by machine learning models? The session will review the methodology and main findings from this project.