Description: Early in his career, Ehren Nagel, FSA, MAAA, scoured through podcasts and articles about predictive analytics, long suspecting this was a field with potential for him.

Description: CMS provides a significant and growing amount of information that can be leveraged by actuaries. Between the public use and research files CMS makes publicly available, large amounts of information that can be assimilated to help understand the who, what, when, where and how of Medicare. With the CMS allowance of supplemental benefits to address SDOH, adding SDOH data into your data landscape is critical to better understand your members' cost drivers. The presenters will focus on the depth and breadth of data available, summarize any restrictions on the use of the data, and identify areas where access to the new data can provide more meaningful insights.

Description: Taxes and Fees Introduced by the ACA

Description: A compilation of feedback from actuaries in the Health Section of the affects of the ACA.

Description: Successful healthcare reform: First, it must help that must keep healthy people healthy. Second, it must help people mitigate or eliminate the health-risks associated with unhealthy lifestyle behavior choices, and Third, it must ensure the provision of evidence-based care to those who are ill.

Description: This study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?

Description: Social determinants of health (SDoH) have been a topic of growing interest in recent years, yet consensus about what the phrase represents and how health-related social needs should be studied or addressed by employers, health plans, providers and other stakeholders in the business of health care have been lacking. For many, low-income populations come to mind when considering the topic, yet SDoH include a wide range of factors beyond income. Many types of data are available, yet each presents distinct challenges and opportunities for analysis. In this article, we describe some of the underlying context for considering SDoH, as well as some of the potential data sources to consult and challenges to grapple with on this important topic.

Description: This is the abstract for the paper, The Need for Coordinated Care for Depression, and the Need for Creative Innovation by Stephen P. Melek, FSA.

Description: Appendixes for the Evaluating ACO Efficiency: Risk Adjustment within Episodes study. The study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?

Description: Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the impact big data and predictive modeling is having on the health care industry