Description: A brief review of the 2024 SOA Health Meeting in Baltimore

Description: America’s healthcare results are lackluster and worsening despite enormous effort and investment over many decades. Spending, affordability, health, coverage, access, quality, and healthcare workforce results are suboptimal or poor. Too many are suffering, and the system is financially unsustainable. We need a new approach, a new way of thinking about healthcare financing and delivery.

Description: Address issues in value-based contract accounting from an actuarial perspective. In Medicare and ACA business, what issues does risk adjustment present to value-based contract accounting? In Medicare, what issues do Part D present in value-based contract accounting and what are possible solutions? What are the issues in the use of provider stop loss in value-based contract accounting? Are there issues in the timeliness of claims in value-based contract accounting? Are we giving providers enough information for them to manage their population? How do we deal with deficit accounts? What are the pros and cons of capitation, gainshare, and full risk in value-based accounting?

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: The article provides insights about the need for revolutionary actuaries in Saudi Arabia due to the reform that is happening across the kingdom under all sectors. Then I talk briefly about the health sector and the transformation that is happing in the sector, and how qualified health actuaries can contribute to this health reform.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.

Description: Join our exciting panel of health actuaries, ready for any challenge! Got an ACA puzzle? We've got the answers! Tackling a valuation dilemma? We're here to crack it! Facing a professionalism quandary? We'll navigate the complexities! Dealing with regulatory worries? We're your guiding light! Every question is welcome - there's no such thing as a silly question! Learning Outcomes: - Attendees will have the opportunity to get answers to their questions.

Description: In the past months, as COVID-19 has forced the reduced activity in the U.S. economy there has been some very substantial, but varied effects on the U.S. healthcare system. There is a lot of potential for confusion amongst providers and patients with regards to decisions related to which services ought to be rendered and which ought to be deferred. Two specific agencies – the Centers for Medicare and Medicaid Services (CMS), and the American College of Surgeons (ACS) have put together some guidance to add more clarity towards what types of services should be provided and what types ought to be deferred. In addition, this paper includes a discussion on what types of services are most likely to be deferred, and which ones will accrue pent-up demand to be released when many of the deferred services become available again.

Description: The SOA has translated four of its AIT report summaries into both Traditional and Simplified Chinese. They are “Behavioral Science”, “Big Data and the Future Actuary”, “Cancer Genomics”, and “Cloud Computing and Machine Learning Uses in the Actuarial Profession.

Description: This report presents Phase 2 of the 2024 IDEC Study, analyzing individual disability income (IDI) claim recovery and mortality rates from 2006-2014. It expands Phase 1's scope—previously limited to 90-day elimination and To Age 65-70 benefit periods—to include additional elimination and benefit periods, examining variations by diagnosis, occupation class, claim year, and gender.