Description: Actuaries are risk averse by nature. In order to keep up with the transformative nature of today's healthcare environment SOA Fellow Ian Duncan encourages actuaries to become entrepreneurs and hands-on business leaders.

Description: View the 2019 Board Member Candidate page for Gregory G. Fann for the 2019 SOA Elections.

Description: 2023 Board Member Candidate Page for

Description: Lillian Dittrick’s strategic analytics team at UnityPoint Health® has developed an application to automatically cull unstructured doctors’ notes in electronic medical records. Dittrick’s team is part of a strategic analytics department that did not exist three years ago. UnityPoint Health®, one of the nation’s largest nonprofit health systems, has assembled a team of people who use advanced analytics to build more complete patient risk stratification models by mining claims, clinical and social determinant data in new ways.

Description: 2023 Board Member Candidate Page for Daniel Pribe

Description: View 2020 candidate web page for Roger Loomis.

Description: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.

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: The Society of Actuaries' Pension Section and Health Section Research teams originally commissioned Professor Thomas E. Getzen of Temple University to construct a resource model for the projection of long term healthcare cost trends. The Society of Actuaries continues to make annual updates to the model to ensure its usefulness and relevancy.

Description: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.