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: 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.

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: COVID has washed over healthcare like a tsunami. According to Medicare actuaries, trends have been turned upside down in 2021, but will reverse back in 2023 as medical costs rebound. It is more prudent to base projections on long run trends for a period after the storm, extrapolating from 2026 forward, leaving the intervening turbulence (years 2022 -2025) mostly unspecified.

Description: This report evaluates alternative payment models that potentially could be instituted by healthcare payers and manufacturers.

Description: 2022 Health Meeting Recording Bundle

Description: The coming wave of biosimilars could have a major impact on prescription drug spend in coming years. The big event of Humira biosimilar launches in 2023 will be significant in determining that ultimate impact. Payers are making coverage decisions. The more biosimilars are utilized, the greater the potential savings. How will biosimilar adoption be maximized?

Description: Chris Smith, vice chair of the Actuary of the Future section, had the privilege of attending the SOA Health meeting in Seattle for the first time this year. Read about his experience and thoughts on why you should plan to attend an SOA-sponsored conference for your career growth.

Description: A brief review of the 2024 SOA Health Meeting in Baltimore