Description: Planning for retirement is at the top of many minds. How do I save? When is the right time? What are my plans? But what are the impacts of your health on retirement? Learn more about the effects of a healthy lifestyle on retirement in order to maximize life span. Review more in-depth findings from a recent report sponsored by the SOA Research Institute’s Aging and Retirement Strategic Research Program and conducted by the Vitality Group, as well as other expert insights.

Description: Health care continues to move from a fee-for-service model to a value-based care model. Hear from our expert panel on how actuaries can play a key role in the design and contracting of value-based agreements, monitoring experience and driving results, as well as measurement of value. The discussion will cover different structures currently in use, types of services covered (total cost of care, claim service lines, specialties, condition based, pharmacy products, etc), as well as nuances by market (Medicare FFS, MA, Commercial, Medicaid). The panel will discuss latest innovations in the value-based care space, as well as how COVID-19 has impacted these contracts. This interactive session will also allow you to ask your questions to our diverse group of panelists.

Description: Watch as presenters highlight the SOA's work on an updated Medicaid underwriting margin model. This research project includes the model along with a set of instructions and a paper describing the key components of underwriting margin, including cost of capital and risk margin. The model was created as a tool for Medicaid actuaries representing both MCO and state principals to determine appropriate underwriting margin components within Medicaid managed care rates. In addition, explore a brief description of the motivation for an underlying theory behind the model. Walk through different model inputs and run through some realistic scenarios that Medicaid actuaries may encounter in states where they operate.

Description: This session includes a new idea based on dynamic treatment regime work (OWL) and integrating cost into this work. This will enable identifying the best treatment for a patient based on both outcomes and cost. This is novel for actuaries because in previous analysis we have used cost only in the after-analysis, whereas here we use it in the actual analysis and treatment identification. Moreover, this analysis provides a way to consider multiple treatments for a patient (including the no treatment option) and choosing among those multiple treatments, for both outcomes and cost. This session will share the background theory and set up a case study. The case study will parallel what is in the analysis in the book by Ian Duncan 'Predicting Hospital Readmission with Case Management Recommendation.' This analysis will then go further to compare a situation where there are multiple potential case managers. Also, this will potentially explore care pathways and choosing the best care pathway for a patient based on health outcomes and cost combined.

Description: This session will give an update on the latest in SOA Health Research. The session will also provide an overview of the health research process with additional information on upcoming SOA volunteer opportunities in Health Research. There will be a presentation on one or more SOA Health Research Projects recently published or soon to be published.

Description: With record numbers of job openings, rising interest rates, the highest inflation in decades, and the possibility of a recession, it has been an unusual and challenging time for the U.S. economy. Explore the impact that recent economic trends may have on group disability insurance, including morbidity, growth, and financial performance..

Description: "A crucial importance in forecasting is to be able to distinguish cases when temporary slowdowns in health care utilization are followed by a “rebound” period of higher utilization. Come explore an analysis of a new mathematical model describing the return-of-care process. By means of simulation and case studies using the R programming language, the relationship between the visibility of these effects and the endogenous variance of the utilization time series is explored. After attending this session, you will be able to: Describe the parameters and mathematical form of the model Apply the model to real-world utilization data"

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.

Description: Every patient leaving the hospital has personal life-context circumstances that impact their chances of successful recovery and complications can be costly. Complex care management impacts over 50 percent of health care spend, with the admitted commercial population driving 37 percent of spend or $177M per 100,000 lives and the Medicare population driving 53 percent of spend or $600 million per 100,000 lives. The stakes are high, but existing care management solutions are mostly clinical and navigation call centers provide fragmented and outdated patient management systems, and do not address individual life-context. Discharged patients therefore remain underengaged and undercompliant, leading to costly complications. Innovative technology can help enable and integrate systems and existing infrastructure to leverage evidence-based contextualized care that will enhance care management, improve efficiency, and drive a better experience and outcomes for patients. This technology helps codifies life context, dynamically stratifying and engaging members digitally and telephonically helping virtual care teams to be more effective and efficient. In a recent randomized clinical trial, this technology and approach has shown a 50 percent reduction in the total cost of care, cutting the average and total cost of readmission, increasing virtual care team impact and member engagement and trust.

Description: Explore historical trends in enrollment, carrier participation, and competition over the first 10 years of the individual marketplace as a basis to frame what the future could hold for the next 10 years. Draw parallels to other lines of business (e.g., Medicare Advantage, employer group) as we look at how the market may evolve and the capabilities required to succeed. This session would be valuable for anyone interested in consumer purchasing behavior, quality and risk adjustment, employer benefits, provider dynamics, and the individual market more broadly. By attending this this session, you will be able to articulate the impact of recent legislation and regulatory actions on the Individual market, including subsidies, employer funding vehicles (e.g., ICHRA), distribution channels, and product requirements.