Description: 2021 ImpACT Conference - Session 7D: Commissioner's Roundtable 10.27.21 Recording

Description: 2021 ImpACT Conference - Session 11B: Disability Experience Trends: Social Security and GLTD/IDI Private Programs 10.28.21 Recording

Description: 2021 ImpACT Conference - Session 7B: Premium Alignment in ACA Markets: New Trends in State Guidance 10.27.21 Recording

Description: 2021 ImpACT Conference - Session 7E: Impact of COVID-19 on LTC 10.27.21 Recording

Description: The June 2021 Supreme Court ruling in California vs. Texas has significant ramifications on Affordable Care Act markets. This session will provide the actuarial community an overview of the ruling, the likely impact on health insurance markets, and potential legislation to address the ruling details.

Description: 2021 ImpACT Conference - Session 1B: Mental Health Care in a Virtual World 10.25.21 Recording

Description: 2021 ImpACT Conference - Session 10D: Updates on the Financial Status of Social Security and Proposals 10.28.21 Recording

Description: Actuaries have the business acumen, problem-solving capabilities, and technical skills to develop innovative and data-driven solutions in the social insurance space. It is time we expand our scope and embrace an increased role in making a positive impact within the health care ecosystem. The primary focus of this paper is on social insurance programs dedicated to the most vulnerable population: low-income families accessing care through Medicaid. While there are numerous challenges that require other subject matter experts to take the lead, this article highlights topics where actuaries can be key players in developing and implementing tangible solutions to improve the care for the most vulnerable. Issues and solutions in this paper focus on the following three areas: 1. Access to appropriate care, 2. continuity of care, and 3. social determinants of health.

Description: Analyzing large quantities of raw complex data is often a challenge in the health care industry. During this webcast, there will be a demonstration of how unsupervised machine learning techniques can be applied to such data to help bring useful insights. This will include examples that use unsupervised learning techniques spanning dimensionality reduction, clustering and anomaly detection.

Description: This report presents the impact of Covid-19 on socioeconomic differentials in mortality in the United States. The study aims to understand how the pandemic affected various socioeconomic groups in the U.S. population.