Description: Almost half of recent FDA approvals have been for orphan drugs. This trend is expected to continue in 2023. Orphan drugs are priced more than 30 times higher than non-orphan drugs, therefore their cost burden in aggregate has the potential to overwhelm the budgets of payers, especially that of smaller health plans. Hear how the cost impact analysis for smaller health plans require different considerations than for a larger health plan when modeling the impact of rare diseases.

Description: Attend this webcast to learn more on how to navigate managing ESG principles in the new normal of a post-COVID world. Enhance your ESG insights in a post-pandemic landscape.

Description: In this session, we will delve into the application of survey data analytics to extract valuable insights from public survey datasets. The discussion will start with the basics of survey design, sampling practices, and estimation of key statistics. Three case studies will be presented: one in the realm of population health and another in medical economics, both demonstrating the use of either SAS or R to perform the survey analytics.

Description: In this session, we will provide examples and highlight real-world analytics that have been done to compare providers of tertiary and quaternary (T/Q) services (i.e., complex and potentially rare conditions). We also will address the need for analytics like this, who the potential audiences are, the data necessary to complete an analysis, and we will walk through actual case studies.

Description: Unique Data Analysis Techniques to help plans find that 1% edge in opportunity and value. The discussion will vary from a conversation on members who are at high catastrophic risk to provider networks and referral patterns. The goal of the session will be to help show ways plans can create savings through outside-the-box techniques.

Description: This interactive session will compare industry predictions versus what happened with the unwinding of continuous coverage requirements in Medicaid that were first put in place due to the COVID-19 public health emergency. The audience will be able to participate in a guessing game as the panelists review how enrollment could be stabilizing.

Description: Session 3A: State-Specific Enrollment Modeling - Understanding Disenrollment Trends and Population Dynamics

Description: Exhibits for Predictive Analytics Framework

Description: This report is a technical paper on a Predictive Analytics Framework and Reusable Workflow for Experience Analysis in actuarial studies. It covers data analysis, machine learning models, methodologies, and model interpretation techniques.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.At the conclusion of the session, attendees will be able to avoid drawing inappropriate statistical conclusions, while doing their work. They will leave informed about the types of pitfalls that exist, and where those might come into play in actuarial work.