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: Review of non public options to finance care including personal savings, revers mortgages, family care and private insurance.

Description: Family caregivers are a critical link in providing long-term services and supports (LTSS), but they have significant unmet needs. To better support family caregivers, Congress authorized the Recognize, Assist, Include, Support, & Engage (RAISE) Family Caregivers Act in 2018 and created the RAISE Family Caregiving Advisory Council. The Council identified recommendations to serve as the backbone of a national strategy to improve the physical, emotional and financial well-being of family caregivers. A new report, "Asking Directions: Mapping a Course to Support Family Caregivers," identifies specific actions across a variety of players for meeting the Council’s recommendations. It summarizes insights from a year’s worth of strategy sessions and interviews with representatives of over 100 organizations. The report brings together thoughts on best practices and the most critical action steps from national and state organizations, county health providers, the direct care workforce, large and small employers, aging and disability organizations, faith-based groups, respite care providers and more. This article summarizes the research methods and key findings of the report and the work conducted by the Leading Age LTSS Center @UMass Boston and Community Catalyst’s Center for Consumer Engagement in Health Innovation.

Description: Description * Coinsurance has not been widely offered as a benefit reduction option to offset long-term care premium rate increases. This article uses an illustrative example to evaluate the potential impact coinsurance could have on an insurance carrier's future claim liabilities and a policyholder's premium rates. It also explores various considerations insurance carriers, regulators, and policyholders should think about when evaluating whether coinsurance is the right option.

Description: Discussion of how to mature value-based contracts between health insurers and provider organizations to improve population health and financial sustainability. Centers around contract parameter consistency, revenue predictability and risk assessment. Intended audience are health plan and ACO actuaries and leaders. Authors are writing from the provider perspective in value-based contracts.

Description: Mental health, suppoting policyholders

Description: The Research Executive Committee (REC) of the SOA Research Institute oversees the funding of the Emerging Issues Pool. This key source of research funding is used to sponsor projects that are beneficial to the entire profession, across practice area boundaries that may require funding levels beyond the normal annual funding budgets of research committees and sections. The REC is issuing this Request for Proposals (RFP) to fulfill the strategic goals of the organization through the use of this pool for funding new projects.

Description: ACA risk adjustment is intended to "bridge the gap" between allowed rates and actuarial rates. If risk adjustment methodology is not bridging that gap & becomes an additional input to pricing formulae, it is not serving its intended purpose.

Description: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.

Description: Results of the 2021 SOA Life Reinsurance Survey