Description: How well can we predict ACA HHS Risk Adjustment Data Validation (HRADV) results? Put another way, how susceptible is the current HRADV process to small sample volatility? What potential remedies are there to the current model's shortcomings? Every plan, regardless of how many members they have above the 1000 minimum, count equally if they qualify for an HRADV with how the result is interpreted, and the subsequent HRADV risk transfer ($330M in 2023).

Description: In this webcast, the presenter will cover mental health in insurance products. Learn about the public’s increased interest in mental health and the ways insurers can meet this demand, how we can embed such offerings in insurance and how to successfully expand mental health coverage to those in need. The second speaker will cover how cancer and the simplified issue insurance market has evolved in Korea. In this session, the speaker will share the ease of selling / onboarding, thus allowing a greater penetration of products.

Description: El webcast presentará una comparación de alto nivel de los acuerdos internacionales de financiamiento de la atención de la salud y proporcionará una comparación y contrato con los modelos de Colombia y otros modelos latinoamericanos.

Description: Actuaries historically modeled new launches in pharmaceuticals by anticipating the expected change to the market basket. This became more complicated with the recent launches of gene and cell therapies as they address rare diseases. Rare conditions have low total member volume to study and some do not currently have a diagnosis code to identify them within claims data. Addressing this modeling challenge has been growing more important in the recent years with the number of therapies launching. What has the health care industry, and more specifically health care, done to enhance modeling and how should this be altered for the future? Additionally, historic modeling has sometimes incorporated a level of direct medical treatment cost offsets where studies have shown lower treatment costs are achievable. Can gene and cell financial modeling include cost offsets as well? And if so, what are suggested precautions or limitations to this effort?

Description: Enjoy an in-depth walkthrough of the facets of the lab testing world in this webcast. The agenda will include a discussion on genetic testing, which focuses on its general background, current trends and tests in the pipeline, as well as a focus on the approaches to achieve savings in lab testing. Finally, expect to check out sample actuarial analyses that will be used to identify areas of focus in lab management. Join us and take a deeper look into lab work in the actuarial health industry.

Description: Discover a comparison of U.S. and international mandated leave programs which mandate employers to provide a minimum level of benefits to employees for qualifying leaves of absence, such as parental leave or medical leave.

Description: Many states have recently introduced mandatory paid family and medical leave (PFML) programs, which require employers to provide PFML benefits to their employees. This session explores recent trends in PFML programs, including plan design, pricing, employee perception, employer challenges, and current activity in various states.

Description: A panel of leading reinsurance executives will provide an overview of the health reinsurance market that explores existing reinsurance transactions reported under Schedule S, large claim research drawing insight from the latest five-year Merative Commercial MarketScan Research Database, stop-loss reinsurance options for Accountable Care Organizations (ACOs), and other reinsurance applications being seen in the market.

Description: A panel of leading reinsurance executives provide perspective on topics to include cell and gene therapy, structured reinsurance, reinsurance demand for value based care arrangements, and how reinsurers view a variety of risk transfer opportunities.

Description: This session will discuss what is meant by 'bias' and 'fairness', the regulatory environment, how to identify and mitigate bias in models, and proper oversight and governance of model building. The session will include a case study.