Description: This topic will explore current and upcoming changes to the risk adjustment models and strategies for payers and risk bearing providers to reduce/avoid headwinds and potentially come out on top in the years ahead. We will discuss the timeline, nature and motivation for changes as well as the anticipated associated impacts.

Description: Actuarial Roles in Health

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. By attending this session, you will: Understand the recent average and variation of industry performance in the ACA market segment. Describe current policy and market forces that are expected to impact this segment. Explain the range of market scenarios that may result due to these forces."

Description: As the healthcare industry becomes increasingly complex, actuaries are under pressure to analyze vast amounts of data and make informed decisions quickly. Artificial intelligence (AI) technologies like ChatGPT offer a promising solution, providing powerful tools for data analysis and natural language processing. Come explore the use of ChatGPT in actuarial analysis, focusing on healthcare applications. Begin with an introduction to ChatGPT and how it works, including its ability to understand and generate natural language responses. Then expect a discussion on the potential benefits of using ChatGPT in healthcare actuarial analysis, including improved accuracy, efficiency, and scalability. Through case studies and examples, we will demonstrate how ChatGPT can be used to analyze complex healthcare data sets, including electronic health records (EHRs), claims data, and patient surveys. We will also discuss how ChatGPT can be integrated with other AI tools, such as predictive modeling and machine learning, to enhance actuarial analysis. Finally, learn about some of the potential challenges and limitations of using ChatGPT in actuarial analysis, such as data privacy concerns and the need for human oversight. There will also be guidance on best practices for using ChatGPT in a healthcare actuarial context, including data preparation, model training, and interpretability.

Description: With the mandated health plan transparency files, health plans and providers are now able to substantially enhance their provider contracting efforts. Although the files are large and cumbersome they are market disruptors and provide new insights for provider contracting efforts. Explore a demonstration on the type of information now available and how it can be used to enhance this from both a health plan and health care provider perspective.

Description: In this session, you will learn about key cost drivers in pharmacy trends, including but not limited to: New high-cost drugs, including gene therapies, that treat rare and/or expensive conditions such as spinal muscular atrophy (SMA), inherited retinal disease, hemophilia A and B, Duchenne muscular dystrophy (DMD), sickle cell anemia and cerebral adrenoleukodystrophy (CALD) Other cost drivers in the prescription drug category, including the emergence of GLP-1s, digital therapeutics, targeted immunomodulators, accelerated approval drugs and expanded indications The implications of the end of the COVID-19 Public Health Emergency (PHE) on the costs of COVID-19 vaccines, testing and treatment claims Downward influences on pharmacy costs, such as the availability of new generic drugs and biosimilars Emerging trends in pharmacy benefits manager (PBM) contracting, the initial portion of this discussion will be led by a pharmacist and former state pharmacy director.

Description: Review a recently completed research project for a multi-stakeholder data consortium on social determinants of health (SDOH). In this project, claims, external SDOH data, geospatial analysis, and machine learning models were used to examine several questions: How to identify SDOH vulnerabilities? How sensitive are the findings with respect to provider coding pattern variations? How much variability in cost can be explained by SDOH vs. morbidity? What are the key risk drivers revealed by machine learning models? The session will review the methodology and main findings from this project.

Description: Focus on how innovative health care organizations develop their value proposition for their intended buyers. Presenters will share information about their specific solution and the methods used to derive credible savings estimates, ROI, and performance guarantees. Learn about data utilized, the methods deployed, advantages, disadvantages, and buyers' reaction. This session is expected to be technical, highly informative, and interactive with audience members.

Description: After three decades of relatively stable overall inflation trends, the United States has seen significant increases over the last twelve months. What could this mean for inflation in the medical sector? Explore past patterns between the two phenomena, and what drivers stakeholders can monitor to be best aware of what could be coming.

Description: Learn about key topics affecting actuaries working in the dental insurance space! The session will include valuable information for health actuaries looking to better understand how dental fits into Medicaid, Medicare, commercial, and ACA markets.