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: Much of the work performed by disability insurance actuaries depends on the availability of accurate and detailed data, which is not always as simple as it sounds. Explore a variety of data challenges faced by disability actuaries, along with potential solutions. Potential topics include finding relevant data, the impact of poor data on valuation work, the impact of new privacy rules, and the potential bias in the data used to develop predictive models.

Description: Listen to this discussion on a variety of subjects related to disability reserving (e.g. runoff analysis, estimating SSDI offsets). Case studies will be used to examine the potential impact of different approaches to these assumptions and experience studies on reserve estimates.

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: "Risk adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles at a high level, their underlying methodologies and assumptions are also quite different. Due to recent events such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with risk adjustment program changes and understanding the commonalities and differences of these two government risk adjustment programs is important to our health actuaries. Compare these two risk adjustment programs so you can learn key elements of a risk adjustment program, similarities and differences in methodology and assumptions , as well as special considerations due to serving different populations."

Description: In the game of chess, both players have perfect knowledge of the board. In poker, however, players deal with asymmetric information as well as the fact that your opponent can lie. There is an old expression that smart people are “playing chess when their opponents are playing checkers.” However, playing chess when your opponent is playing poker is a recipe for disaster (for the chess player, that is). Parameter risk is more akin to poker than chess, and it is often overlooked in favor of volatility risk in stop loss and reinsurance pricing. Unlike volatility risk, however, parameter risk does not necessarily decrease as the group size increases. Understanding the impact of parameter risk can help avoid mispricing the risk at hand as well as the impulse to provide false precision. False precision can lead to poor underwriting decisions and financial losses. In this session, the presenters will provide examples of parameter risk as well as potential solutions to incorporate when building simulation models. By attending this session you will be able to recognize potential areas of parameter risk and understand techniques to incorporate parameter risk in simulation modeling.

Description: Advancements in machine learning modeling as well as new sources of data coming to the fore help feed the burgeoning industry of InsurTech applications in underwriting. By attending this session, you will learn about the latest developments in InsurTech applications in life/health insurance underwriting.

Description: Risk adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles at a high level, their underlying methodologies and assumptions are also quite different. Due to recent events such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with risk adjustment program changes and understanding the commonalities and differences of these two government risk adjustment programs is important to our health actuaries. Compare these two risk adjustment programs so you can learn key elements of a risk adjustment program, similarities and differences in methodology and assumptions , as well as special considerations due to serving different populations.

Description: Explore the value and cost of prescription drugs, how they should be defined and measured and the effects various stakeholders in the pharmacy ecosystem can have on these factors in the latest webcast. You'll investigate the impact of coverage, formulary and rebate negotiations and related benefit design. Find out how actuaries can answer questions related to the prescription drug industry, in addition to improving the access, quality and affordability of prescription drugs in the United States. Join us for this webcast and come learn about value-based contract design, negotiations, implementation and administration for prescription drugs.

Description: Can you answer the question, 'What are the chances we will lose more than $1 million?' without saying, 'It depends'? If you miss a projection, can you estimate the chances that the miss was due to random variation versus an incorrect projection? Listen 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 and to apply to many health actuarial functions.