Description: Session Categories

Description: Learn more about interpretable machine learning techniques for health insurance fraud detection.

Description: The health insurance industry has historically used several factors to develop premium rates. Many of these, e.g. gender rating, have been largely eliminated from health insurance rating practices by regulations as the Patient Protection and Affordable Care Act (ACA) because they were determined as inequitable. However, several other factors still remain as differentiators in premium rates charged to individuals and groups. In conjunction with the SOA, researchers studied whether there could be ‘ghost’ rating factors, like race, ethnicity, or socioeconomic status, that are inherently included in some of these remaining allowable factors. Review results and opportunities for future research. By attending this webcast, you will be challenged to think about traditional rating factors in a different way. Rather than focusing on whether certain factors are sound based on the underlying claims cost, this session will focus on whether or not these factors are impacting certain socioeconomic or racial/ethnic groups disparately.

Description: On March 22, 2022, the Wall Street Journal hosted its annual Health Forum, a virtual all-day event which included several sessions. This session was attended by experts across the healthcare space and attendees included many from the healthcare technology companies. This report summarizes the event.

Description: Learn more about Health Care Sharing Ministries (HCSMs) and their functionality as health insurance. These nonprofit companies pool money from participating members to assist with members' healthcare coverage. Further exploring HCSMs, some of the offered arrangements of this plan operate differently and with a unique regulatory framework. HCSM enrollment has grown 1000% since solidification as a law in the ACA. By signing up for this webcast, you can discover why HCSMs are becoming a key component of the individual market in some states.

Description: "Can you answer the question 'what are the chances we will lose more than $1 million next year?' without saying 'it depends'? If you miss a projection, can you quantify the chances that the miss was due to random variation vs. an incorrect projection? ten in as presenters demonstrate how to answer these questions and others using total risk analysis. Total risk analysis includes quantifying both the random variation risk and the projection risk associated with actuarial functions like pricing and reserving. After attending this session, you will be able to describe total risk analysis, apply total risk analysis to many actuarial functions."

Description: "Examine the impact of traditional deductibles on health care equity and the need for innovative plan designs. You will learn about the limitations of consumer-driven health care costs broadly today, as well as alternative cost-sharing approaches that have been successful in driving consumerism without exposing members to high costs. By attending the session, you will be able to: Have a clearer understanding of the issues surrounding deductibles Be equipped with practical ideas for creating more equitable and effective cost-sharing solutions Assess the feasibility and potential impact of implementing these solutions for your own organization"

Description: In this presentation, actuaries and data scientists from Cleveland Clinic and Milliman discuss the development of a sepsis prediction model using machine learning. Presented with a unique challenge of handling massive amounts of data for near real-time risk scoring, the team took their model development to the cloud and delivered a product in less than a week through a unique virtual engagement.

Description: ReMark's Global Consumer Study delivers 10 key insights to empower customers. Insurers can design products that meet customers' needs and enhance client experiences and add significant value to their business. At the same time with new products being launched seemingly continuously, it is important to take a step back and assess risk throughout the product management cycle.

Description: Hear an overview of recent results and potential scenarios that may impact the future of the ACA market. Review recent reported industry level profitability before transitioning to a discussion of how current market dynamics may influence the future profitability of this segment. Results from microsimulation economic models will be presented to help illuminate market shifts. Issues that will be explored include how ICRA availability might influence individual decision making, as well as how a move to level funding is impacting the small group market.